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Documentation -- Reference Pages -- transform statistics

<anchor='top'> Table Of Contents

transform ↗

Operators

aktive op band arg ge
aktive op band arg gt
aktive op band arg le
aktive op band arg lt
aktive op band arg max
aktive op band arg min
aktive op band cumulative
aktive op band histogram
aktive op band max
aktive op band mean
aktive op band median
aktive op band min
aktive op band otsu
aktive op band rank
aktive op band stddev
aktive op band sum
aktive op band sumsquared
aktive op band variance
aktive op column arg max
aktive op column arg min
aktive op column cumulative
aktive op column histogram
aktive op column max
aktive op column mean
aktive op column median
aktive op column min
aktive op column otsu
aktive op column profile
aktive op column rank
aktive op column stddev
aktive op column sum
aktive op column sumsquared
aktive op column variance
aktive op image histogram
aktive op row arg max
aktive op row arg min
aktive op row cumulative
aktive op row histogram
aktive op row max
aktive op row mean
aktive op row median
aktive op row min
aktive op row otsu
aktive op row profile
aktive op row rank
aktive op row stddev
aktive op row sum
aktive op row sumsquared
aktive op row variance
aktive op tile histogram
aktive op tile max
aktive op tile mean
aktive op tile median
aktive op tile min
aktive op tile rank
aktive op tile stddev
aktive op tile sum
aktive op tile sumsquared
aktive op tile variance

Operators

↑ aktive op band arg ge

Syntax: aktive op band arg ge thresholds src [→ definition]

Returns the source image with its bands compressed to a single value, the first index where the band value is greater than or equal than the threshold. The result is a single-band image with the same width and height as the inputs.

The result is suitable for use by aktive op take z.

At the pixels where no band matches the condition the result is the depth of the data image.

Both images have to have the same width and height.

The threshold image has to be single-band.

Input	Description
thresholds	Single-band image of thresholds.
src	Source to scan and compress.

↑ aktive op band arg gt

Syntax: aktive op band arg gt thresholds src [→ definition]

Returns the source image with its bands compressed to a single value, the first index where the band value is greater than than the threshold. The result is a single-band image with the same width and height as the inputs.

The result is suitable for use by aktive op take z.

At the pixels where no band matches the condition the result is the depth of the data image.

Both images have to have the same width and height.

The threshold image has to be single-band.

Input	Description
thresholds	Single-band image of thresholds.
src	Source to scan and compress.

↑ aktive op band arg le

Syntax: aktive op band arg le thresholds src [→ definition]

Returns the source image with its bands compressed to a single value, the first index where the band value is lesser than or equal than the threshold. The result is a single-band image with the same width and height as the inputs.

The result is suitable for use by aktive op take z.

At the pixels where no band matches the condition the result is the depth of the data image.

Both images have to have the same width and height.

The threshold image has to be single-band.

Input	Description
thresholds	Single-band image of thresholds.
src	Source to scan and compress.

↑ aktive op band arg lt

Syntax: aktive op band arg lt thresholds src [→ definition]

Returns the source image with its bands compressed to a single value, the first index where the band value is lesser than than the threshold. The result is a single-band image with the same width and height as the inputs.

The result is suitable for use by aktive op take z.

At the pixels where no band matches the condition the result is the depth of the data image.

Both images have to have the same width and height.

The threshold image has to be single-band.

Input	Description
thresholds	Single-band image of thresholds.
src	Source to scan and compress.

↑ aktive op band arg max

Syntax: aktive op band arg max src [→ definition]

Returns an image with the input bands compressed to a single value, the first index of the maximal band values. The result is a single-band image with the same width and height as the input.

Input	Description
src	Source image

↑ aktive op band arg min

Syntax: aktive op band arg min src [→ definition]

Returns an image with the input bands compressed to a single value, the first index of the minimal band values. The result is a single-band image with the same width and height as the input.

Input	Description
src	Source image

↑ aktive op band cumulative

Syntax: aktive op band cumulative src [→ definition]

Returns image with the input bands transformed into cumulative sums.

This means that each pixel in a band is the sum of the values in the bands before it, having the same row and column.

The result has the same geometry as the input. Only the contents change.

Input	Description
src	Source image

↑ aktive op band histogram

Syntax: aktive op band histogram src ?(param value)...? [→ definition]

Returns image with input bands transformed into a histogram of bins values.

The result is an image of bin-sized histogram bands with width and height of the input

Input	Description
src	Source image

Parameter	Type	Default	Description
bins	int	256	The number of bins held by a single histogram. The pixel values are quantized to fit. Only values in the range of [0..1] are considered valid. Values outside of that range are placed into the smallest/largest bin. The default quantizes the image values to 8-bit.

↑ aktive op band max

Syntax: aktive op band max src [→ definition]

Returns an image with the input bands compressed to a single value, the maximum of the band values. The result is a single-band image with the same width and height as the input.

Input	Description
src	Source image

↑ aktive op band mean

Syntax: aktive op band mean src [→ definition]

Returns an image with the input bands compressed to a single value, the arithmetic mean of the band values. The result is a single-band image with the same width and height as the input.

Input	Description
src	Source image

↑ aktive op band median

Syntax: aktive op band median src [→ definition]

Returns image with input bands compressed to a single value, the median of the sorted band values.

The result is a single-band image with width and height of the input

Input	Description
src	Source image

↑ aktive op band min

Syntax: aktive op band min src [→ definition]

Returns an image with the input bands compressed to a single value, the minimum of the band values. The result is a single-band image with the same width and height as the input.

Input	Description
src	Source image

↑ aktive op band otsu

Syntax: aktive op band otsu src [→ definition]

Returns image with the input bands compressed into an otsu threshold.

This assumes as input an image of band histograms.

The result has the same width and height as the input.

The result is single-band.

Input	Description
src	Source image

↑ aktive op band rank

Syntax: aktive op band rank src ?(param value)...? [→ definition]

Returns image with input bands compressed to a single value, the chosen rank of the sorted band values.

The result is a single-band image with width and height of the input

Beware. While it is possible to use the rank filter for max/min extractions it is recommended to use the specific max/min operators instead, as they should be faster (linear scan of region, no gather, no sorting of the region).

Input	Description
src	Source image

Parameter	Type	Default	Description
rank	int	-1	Index of the sorted values to return. Default creates a median filter. 0 creates min-filter.

↑ aktive op band stddev

Syntax: aktive op band stddev src [→ definition]

Returns an image with the input bands compressed to a single value, the standard deviation of the band values. The result is a single-band image with the same width and height as the input.

Input	Description
src	Source image

↑ aktive op band sum

Syntax: aktive op band sum src [→ definition]

Returns an image with the input bands compressed to a single value, the sum of the band values. The result is a single-band image with the same width and height as the input.

Input	Description
src	Source image

↑ aktive op band sumsquared

Syntax: aktive op band sumsquared src [→ definition]

Returns an image with the input bands compressed to a single value, the sum of the squared band values. The result is a single-band image with the same width and height as the input.

Input	Description
src	Source image

↑ aktive op band variance

Syntax: aktive op band variance src [→ definition]

Returns an image with the input bands compressed to a single value, the variance of the band values. The result is a single-band image with the same width and height as the input.

Input	Description
src	Source image

↑ aktive op column arg max

Syntax: aktive op column arg max src [→ definition]

Returns image with input columns compressed to a single value, the first index of the maximal column values. The result is a single-row image with width and depth of the input.

The part about the depth of the input means that the bands in each column are handled separately.

Input	Description
src	Source image

Examples

aktive op column arg max @1

geometry(0 0 32 32 1)

↑ aktive op column arg min

Syntax: aktive op column arg min src [→ definition]

Returns image with input columns compressed to a single value, the first index of the minimal column values. The result is a single-row image with width and depth of the input.

The part about the depth of the input means that the bands in each column are handled separately.

Input	Description
src	Source image

Examples

aktive op column arg min @1

geometry(0 0 32 32 1)

↑ aktive op column cumulative

Syntax: aktive op column cumulative src [→ definition]

Returns image with the input columns transformed into cumulative sums.

This means that each pixel in a column is the sum of the values in the row before it, having the same column.

The result has the same geometry as the input. Only the contents change.

Input	Description
src	Source image

Examples

aktive op column cumulative @1

geometry(0 0 32 32 1)

0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000
0.0000	0.0000	0.5279	0.8769	1.0000	0.8769	0.6045	0.3297	0.0550	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000
0.0000	0.7574	1.5279	1.8769	2.0000	1.8769	1.6045	1.3297	1.0550	0.7418	0.4671	0.1924	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000
0.5279	1.7574	2.5279	2.8769	3.0000	2.8769	2.6045	2.3297	2.0550	1.7418	1.4671	1.1924	0.8792	0.6045	0.3297	0.0550	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000
1.4048	2.7574	3.5279	3.8769	4.0000	3.8769	3.6045	3.3297	3.0550	2.7418	2.4671	2.1924	1.8792	1.6045	1.3297	1.0550	0.7418	0.4671	0.1924	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000
2.4048	3.7574	4.5279	4.8769	5.0000	4.8769	4.6045	4.3297	4.0550	3.7418	3.4671	3.1924	2.8792	2.6045	2.3297	2.0550	1.7418	1.4671	1.1924	0.8792	0.6045	0.3297	0.0550	0.0000	0.0000	0.0000
3.2817	4.7574	5.5279	5.8769	6.0000	5.8769	5.6045	5.3297	5.0550	4.7418	4.4671	4.1924	3.8792	3.6045	3.3297	3.0550	2.7418	2.4671	2.1924	1.8792	1.6045	1.3297	1.0550	0.7418	0.4671	0.1924
3.8095	5.7574	6.5279	6.8769	7.0000	6.8769	6.6045	6.3297	6.0550	5.7418	5.4671	5.1924	4.8792	4.6045	4.3297	4.0550	3.7418	3.4671	3.1924	2.8792	2.6045	2.3297	2.0550	1.7418	1.4671	1.1924
3.8481	6.6642	7.5279	7.8769	8.0000	7.8769	7.6045	7.3297	7.0550	6.7418	6.4671	6.1924	5.8792	5.6045	5.3297	5.0550	4.7418	4.4671	4.1924	3.8792	3.6045	3.3297	3.0550	2.7418	2.4671	2.1924
3.8481	7.0749	8.5279	8.8769	9.0000	8.8769	8.6045	8.3297	8.0550	7.7418	7.4671	7.1924	6.8792	6.6045	6.3297	6.0550	5.7418	5.4671	5.1924	4.8792	4.6045	4.3297	4.0550	3.7418	3.4671	3.1924
3.8481	7.0749	9.3107	9.8769	10.0000	9.8769	9.6045	9.3297	9.0550	8.7418	8.4671	8.1924	7.8792	7.6045	7.3297	7.0550	6.7418	6.4671	6.1924	5.8792	5.6045	5.3297	5.0550	4.7418	4.4671	4.1924
3.8481	7.0749	9.5974	10.8769	11.0000	10.8769	10.6045	10.3297	10.0550	9.7418	9.4671	9.1924	8.8792	8.6045	8.3297	8.0550	7.7418	7.4671	7.1924	6.8792	6.6045	6.3297	6.0550	5.7418	5.4671	5.1924
3.8481	7.0749	9.5974	11.5357	12.0000	11.8769	11.6045	11.3297	11.0550	10.7418	10.4671	10.1924	9.8792	9.3463	9.3297	9.0550	8.7418	8.4671	8.1924	7.8792	7.6045	7.3297	7.0550	6.7418	6.4671	6.1924
3.8481	7.0749	9.5974	11.6983	13.0000	12.8769	12.6045	12.3297	12.0550	11.7418	11.4671	11.1924	10.8792	10.3463	9.6164	9.3848	9.3463	9.3463	9.1924	8.8792	8.6045	8.3297	8.0550	7.7418	7.4671	7.1924
3.8481	7.0749	9.5974	11.6983	13.5347	13.8769	13.6045	13.3297	13.0550	12.7418	12.4671	12.1924	11.8792	11.3463	10.3992	9.3848	9.3463	9.3463	9.3848	9.3463	9.3463	9.3297	9.0550	8.7418	8.4671	8.1924
3.8481	7.0749	9.5974	11.6983	13.5734	14.7837	14.6045	14.3297	14.0550	13.7418	13.4671	13.1924	12.8792	12.3463	11.3992	9.7955	9.3463	9.3463	9.3848	9.3463	9.3463	9.3848	9.3848	9.3463	9.3463	9.1924
3.8481	7.0749	9.5974	11.6983	13.5734	15.1945	15.6045	15.3297	15.0550	14.7418	14.4671	14.1924	13.8792	13.3463	12.3992	10.7023	9.3849	9.3463	9.3848	9.3463	9.3463	9.3848	9.3848	9.3463	9.3463	9.3848
3.8481	7.0749	9.5974	11.6983	13.5734	15.1945	16.3873	16.3297	16.0550	15.7418	15.4671	15.1924	14.8792	14.3463	13.3992	11.7023	9.9196	9.3463	9.3848	9.3463	9.3463	9.3848	9.3848	9.3463	9.3463	9.3848
3.8481	7.0749	9.5974	11.6983	13.5734	15.1945	16.6740	17.3297	17.0550	16.7418	16.4671	16.1924	15.8792	15.3463	14.3992	12.7023	10.9196	9.5089	9.3848	9.3463	9.3463	9.3848	9.3848	9.3463	9.3463	9.3848
3.8481	7.0749	9.5974	11.6983	13.5734	15.1945	16.6740	17.9885	18.0550	17.7418	17.4671	17.1924	16.8792	16.3463	15.3992	13.7023	11.9196	10.1677	9.3848	9.3463	9.3463	9.3848	9.3848	9.3463	9.3463	9.3848
3.8481	7.0749	9.5974	11.6983	13.5734	15.1945	16.6740	18.1512	19.0550	18.7418	18.4671	18.1924	17.8792	17.3463	16.3992	14.7023	12.9196	11.1677	9.6714	9.3463	9.3463	9.3848	9.3848	9.3463	9.3463	9.3848
3.8481	7.0749	9.5974	11.6983	13.5734	15.1945	16.6740	18.1512	19.5898	19.7418	19.4671	19.1924	18.8792	18.3463	17.3992	15.7023	13.9196	12.1677	10.4543	9.3463	9.3463	9.3848	9.3848	9.3463	9.3463	9.3848
3.8481	7.0749	9.5974	11.6983	13.5734	15.1945	16.6740	18.1512	19.6284	20.6487	20.4671	20.1924	19.8792	19.3463	18.3992	16.7023	14.9196	13.1677	11.4543	9.7570	9.3463	9.3848	9.3848	9.3463	9.3463	9.3848
3.8481	7.0749	9.5974	11.6983	13.5734	15.1945	16.6740	18.1512	19.6284	21.0594	21.4671	21.1924	20.8792	20.3463	19.3992	17.7023	15.9196	14.1677	12.4543	10.6639	9.3849	9.3848	9.3848	9.3463	9.3463	9.3848
3.8481	7.0749	9.5974	11.6983	13.5734	15.1945	16.6740	18.1512	19.6284	21.0594	22.2499	22.1924	21.8792	21.3463	20.3992	18.7023	16.9196	15.1677	13.4543	11.6639	9.9196	9.3848	9.3848	9.3463	9.3463	9.3848
3.8481	7.0749	9.5974	11.6983	13.5734	15.1945	16.6740	18.1512	19.6284	21.0594	22.5366	23.1924	22.8792	22.3463	21.3992	19.7023	17.9196	16.1677	14.4543	12.6639	10.9196	9.5474	9.3848	9.3463	9.3463	9.3848
3.8481	7.0749	9.5974	11.6983	13.5734	15.1945	16.6740	18.1512	19.6284	21.0594	22.5366	23.8512	23.8792	23.3463	22.3992	20.7023	18.9196	17.1677	15.4543	13.6639	11.9196	10.2062	9.3848	9.3463	9.3463	9.3848

↑ aktive op column histogram

Syntax: aktive op column histogram src ?(param value)...? [→ definition]

Returns image with input columns transformed into a histogram of bins values.

The result is an image of bins-sized histogram columns with width and depth of the input.

Input	Description
src	Source image

Parameter	Type	Default	Description
bins	int	256	The number of bins held by a single histogram. The pixel values are quantized to fit. Only values in the range of [0..1] are considered valid. Values outside of that range are placed into the smallest/largest bin. The default quantizes the image values to 8-bit.

Examples

aktive op column histogram @1 bins 8

geometry(0 0 32 32 1)

32	32	32	32	32	32	26	21	17	13	10	6	6	6	7	7	7	7	11	14	18	21	22	22	21	22	22	22	22	22	22	21
0	0	0	0	0	0	0	1	0	1	0	1	0	0	0	0	0	2	0	1	0	1	0	0	2	0	0	0	0	0	0	2
0	0	0	0	0	0	1	0	1	0	1	0	0	1	0	0	0	0	1	0	2	1	0	0	0	0	0	1	1	0	0	0
0	0	0	0	0	0	0	1	0	1	0	1	0	0	0	0	1	1	1	1	0	0	0	1	0	1	0	0	0	0	1	0
0	0	0	0	0	0	2	0	2	0	1	0	1	0	0	0	0	0	1	1	1	0	1	0	0	0	1	0	0	1	0	0
0	0	0	0	0	0	0	1	0	1	0	1	0	0	0	1	0	1	0	2	0	0	1	0	0	0	1	0	0	1	0	0
0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
0	0	0	0	0	0	3	7	12	16	20	23	25	25	25	24	24	21	18	13	11	9	8	9	9	9	8	9	9	8	9	9

↑ aktive op column max

Syntax: aktive op column max src [→ definition]

Returns image with input columns compressed to a single value, the maximum of the column values. The result is a single-row image with width and depth of the input.

The part about the depth of the input means that the bands in each column are handled separately.

Input	Description
src	Source image

Examples

aktive op column max @1

geometry(0 0 32 32 1)

↑ aktive op column mean

Syntax: aktive op column mean src [→ definition]

Returns image with input columns compressed to a single value, the arithmetic mean of the column values. The result is a single-row image with width and depth of the input.

The part about the depth of the input means that the bands in each column are handled separately.

Input	Description
src	Source image

Examples

aktive op column mean @1

geometry(0 0 32 32 1)

0.0000

0.1203

0.2211

0.2999

0.3656

0.4242

0.4748

0.5211

0.5672

0.6134

0.6581

0.7043

0.7453

0.7462

0.7296

0.7000

0.6469

0.5912

0.5365

0.4829

0.4270

0.3725

0.3189

0.2933

0.2921

0.2933

↑ aktive op column median

Syntax: aktive op column median src [→ definition]

Returns image with input columns compressed to a single value, the median of the sorted column values.

The result is a single-column image with height and depth of the input

Input	Description
src	Source image

↑ aktive op column min

Syntax: aktive op column min src [→ definition]

Returns image with input columns compressed to a single value, the minimum of the column values. The result is a single-row image with width and depth of the input.

The part about the depth of the input means that the bands in each column are handled separately.

Input	Description
src	Source image

Examples

aktive op column min @1

geometry(0 0 32 32 1)

↑ aktive op column otsu

Syntax: aktive op column otsu src [→ definition]

Returns image with the input columns compressed into an otsu threshold.

This assumes as input an image of column histograms.

The result has the same width and depth as the input.

The result has a single row.

Input	Description
src	Source image

Examples

aktive op column otsu [aktive op column histogram @1]

geometry(0 0 32 32 1)

120

↑ aktive op column profile

Syntax: aktive op column profile src [→ definition]

Returns image with input columns transformed into a profile.

Where a profile contains, per column, the distance of the first pixel != 0

from the top border of the input.

The result is a single-row image with width and depth of the input.

Input	Description
src	Source image

Examples

aktive op column profile @1

geometry(0 0 32 32 1)

↑ aktive op column rank

Syntax: aktive op column rank src ?(param value)...? [→ definition]

Returns image with input columns compressed to a single value, the chosen rank of the sorted column values.

The result is a single-row image with width and depth of the input

Input	Description
src	Source image

Parameter	Type	Default	Description
rank	int	-1	Index of the sorted values to return. Default creates a median filter. 0 creates min-filter.

↑ aktive op column stddev

Syntax: aktive op column stddev src [→ definition]

Returns image with input columns compressed to a single value, the standard deviation of the column values. The result is a single-row image with width and depth of the input.

The part about the depth of the input means that the bands in each column are handled separately.

Input	Description
src	Source image

Examples

aktive op column stddev @1

geometry(0 0 32 32 1)

0.0000

0.2869

0.3953

0.4364

0.4661

0.4851

0.4856

0.4800

0.4768

0.4760

0.4570

0.4345

0.4218

0.4313

0.4288

0.4375

0.4579

0.4683

0.4757

0.4778

0.4726

0.4597

0.4443

0.4458

0.4397

0.4423

0.4445

↑ aktive op column sum

Syntax: aktive op column sum src [→ definition]

Returns image with input columns compressed to a single value, the sum of the column values. The result is a single-row image with width and depth of the input.

The part about the depth of the input means that the bands in each column are handled separately.

Input	Description
src	Source image

Examples

aktive op column sum @1

geometry(0 0 32 32 1)

↑ aktive op column sumsquared

Syntax: aktive op column sumsquared src [→ definition]

Returns image with input columns compressed to a single value, the sum of the squared column values. The result is a single-row image with width and depth of the input.

The part about the depth of the input means that the bands in each column are handled separately.

Input	Description
src	Source image

Examples

aktive op column sumsquared @1

geometry(0 0 32 32 1)

↑ aktive op column variance

Syntax: aktive op column variance src [→ definition]

Returns image with input columns compressed to a single value, the variance of the column values. The result is a single-row image with width and depth of the input.

The part about the depth of the input means that the bands in each column are handled separately.

Input	Description
src	Source image

Examples

aktive op column variance @1

geometry(0 0 32 32 1)

0.0000

0.0823

0.1563

0.1905

0.2173

0.2353

0.2358

0.2304

0.2273

0.2266

0.2088

0.1888

0.1779

0.1861

0.1838

0.1914

0.2097

0.2193

0.2263

0.2283

0.2234

0.2113

0.1974

0.1987

0.1933

0.1957

0.1976

↑ aktive op image histogram

Syntax: aktive op image histogram src ?(param value)...? [→ definition]

Returns image with the input transformed into a histogram of bins values.

Input	Description
src	Source image

Parameter	Type	Default	Description
bins	int	256	The number of bins in the returned histogram. The pixel values are quantized to fit. Only values in the range of [0..1] are considered valid. Values outside of that range are placed into the smallest/largest bin. The default quantizes the image values to 8-bit.

Examples

aktive op image histogram @1 bins 8

geometry(0 0 128 128 1)

14376

1731

↑ aktive op row arg max

Syntax: aktive op row arg max src [→ definition]

Returns image with input rows compressed to a single value, the first index of the maximal row values. The result is a single-column image with height and depth of the input.

The part about the depth of the input means that the bands in each row are handled separately.

Input	Description
src	Source image

Examples

aktive op row arg max @1

geometry(0 0 32 32 1)

0
0
0
0
0
0
10
8
7
7
6
7
7
8
8
9
9
10
10
11
12
12
13
13
14
14
15
16
16
17
17
18

↑ aktive op row arg min

Syntax: aktive op row arg min src [→ definition]

Returns image with input rows compressed to a single value, the first index of the minimal row values. The result is a single-column image with height and depth of the input.

The part about the depth of the input means that the bands in each row are handled separately.

Input	Description
src	Source image

Examples

aktive op row arg min @1

geometry(0 0 32 32 1)

0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

↑ aktive op row cumulative

Syntax: aktive op row cumulative src [→ definition]

Returns image with the input rows transformed into cumulative sums.

This means that each pixel in a row is the sum of the values in the column before it, having the same row.

The result has the same geometry as the input. Only the contents change.

Input	Description
src	Source image

Examples

aktive op row cumulative @1

geometry(0 0 32 32 1)

0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000
0.0000	0.0000	0.5279	1.4048	2.4048	3.2817	3.8861	4.2159	4.2709	4.2709	4.2709	4.2709	4.2709	4.2709	4.2709	4.2709	4.2709	4.2709	4.2709	4.2709	4.2709	4.2709	4.2709	4.2709	4.2709	4.2709
0.0000	0.7574	1.7574	2.7574	3.7574	4.7574	5.7574	6.7574	7.7574	8.4992	8.9663	9.1587	9.1587	9.1587	9.1587	9.1587	9.1587	9.1587	9.1587	9.1587	9.1587	9.1587	9.1587	9.1587	9.1587	9.1587
0.5279	1.5279	2.5279	3.5279	4.5279	5.5279	6.5279	7.5279	8.5279	9.5279	10.5279	11.5279	12.4070	13.0115	13.3412	13.3963	13.3963	13.3963	13.3963	13.3963	13.3963	13.3963	13.3963	13.3963	13.3963	13.3963
0.8769	1.8769	2.8769	3.8769	4.8769	5.8769	6.8769	7.8769	8.8769	9.8769	10.8769	11.8769	12.8769	13.8769	14.8769	15.8769	16.6187	17.0858	17.2782	17.2782	17.2782	17.2782	17.2782	17.2782	17.2782	17.2782
1.0000	2.0000	3.0000	4.0000	5.0000	6.0000	7.0000	8.0000	9.0000	10.0000	11.0000	12.0000	13.0000	14.0000	15.0000	16.0000	17.0000	18.0000	19.0000	19.8792	20.4836	20.8134	20.8684	20.8684	20.8684	20.8684
0.8769	1.8769	2.8769	3.8769	4.8769	5.8769	6.8769	7.8769	8.8769	9.8769	10.8769	11.8769	12.8769	13.8769	14.8769	15.8769	16.8769	17.8769	18.8769	19.8769	20.8769	21.8769	22.8769	23.6187	24.0858	24.2782
0.5279	1.5279	2.5279	3.5279	4.5279	5.5279	6.5279	7.5279	8.5279	9.5279	10.5279	11.5279	12.5279	13.5279	14.5279	15.5279	16.5279	17.5279	18.5279	19.5279	20.5279	21.5279	22.5279	23.5279	24.5279	25.5279
0.0386	0.9455	1.9455	2.9455	3.9455	4.9455	5.9455	6.9455	7.9455	8.9455	9.9455	10.9455	11.9455	12.9455	13.9455	14.9455	15.9455	16.9455	17.9455	18.9455	19.9455	20.9455	21.9455	22.9455	23.9455	24.9455
0.0000	0.4107	1.4107	2.4107	3.4107	4.4107	5.4107	6.4107	7.4107	8.4107	9.4107	10.4107	11.4107	12.4107	13.4107	14.4107	15.4107	16.4107	17.4107	18.4107	19.4107	20.4107	21.4107	22.4107	23.4107	24.4107
0.0000	0.0000	0.7828	1.7828	2.7828	3.7828	4.7828	5.7828	6.7828	7.7828	8.7828	9.7828	10.7828	11.7828	12.7828	13.7828	14.7828	15.7828	16.7828	17.7828	18.7828	19.7828	20.7828	21.7828	22.7828	23.7828
0.0000	0.0000	0.2867	1.2867	2.2867	3.2867	4.2867	5.2867	6.2867	7.2867	8.2867	9.2867	10.2867	11.2867	12.2867	13.2867	14.2867	15.2867	16.2867	17.2867	18.2867	19.2867	20.2867	21.2867	22.2867	23.2867
0.0000	0.0000	0.0000	0.6588	1.6588	2.6588	3.6588	4.6588	5.6588	6.6588	7.6588	8.6588	9.6588	10.4006	11.4006	12.4006	13.4006	14.4006	15.4006	16.4006	17.4006	18.4006	19.4006	20.4006	21.4006	22.4006
0.0000	0.0000	0.0000	0.1626	1.1626	2.1626	3.1626	4.1626	5.1626	6.1626	7.1626	8.1626	9.1626	10.1626	10.4493	10.7791	11.3835	12.2627	13.2627	14.2627	15.2627	16.2627	17.2627	18.2627	19.2627	20.2627
0.0000	0.0000	0.0000	0.0000	0.5347	1.5347	2.5347	3.5347	4.5347	5.5347	6.5347	7.5347	8.5347	9.5347	10.3176	10.3176	10.3176	10.3176	10.5099	10.9771	11.7189	12.7189	13.7189	14.7189	15.7189	16.7189
0.0000	0.0000	0.0000	0.0000	0.0386	0.9455	1.9455	2.9455	3.9455	4.9455	5.9455	6.9455	7.9455	8.9455	9.9455	10.3562	10.3562	10.3562	10.3562	10.3562	10.3562	10.4112	10.7409	11.3454	12.2246	13.2246
0.0000	0.0000	0.0000	0.0000	0.0000	0.4107	1.4107	2.4107	3.4107	4.4107	5.4107	6.4107	7.4107	8.4107	9.4107	10.3176	10.3562	10.3562	10.3562	10.3562	10.3562	10.3562	10.3562	10.3562	10.3562	10.5486
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.7828	1.7828	2.7828	3.7828	4.7828	5.7828	6.7828	7.7828	8.7828	9.7828	10.3176	10.3176	10.3176	10.3176	10.3176	10.3176	10.3176	10.3176	10.3176	10.3176
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.2867	1.2867	2.2867	3.2867	4.2867	5.2867	6.2867	7.2867	8.2867	9.2867	10.2867	10.4493	10.4493	10.4493	10.4493	10.4493	10.4493	10.4493	10.4493	10.4493
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.6588	1.6588	2.6588	3.6588	4.6588	5.6588	6.6588	7.6588	8.6588	9.6588	10.3176	10.3176	10.3176	10.3176	10.3176	10.3176	10.3176	10.3176	10.3176
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.1626	1.1626	2.1626	3.1626	4.1626	5.1626	6.1626	7.1626	8.1626	9.1626	10.1626	10.4493	10.4493	10.4493	10.4493	10.4493	10.4493	10.4493	10.4493
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.5347	1.5347	2.5347	3.5347	4.5347	5.5347	6.5347	7.5347	8.5347	9.5347	10.3176	10.3176	10.3176	10.3176	10.3176	10.3176	10.3176	10.3176
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0386	0.9455	1.9455	2.9455	3.9455	4.9455	5.9455	6.9455	7.9455	8.9455	9.9455	10.3562	10.3562	10.3562	10.3562	10.3562	10.3562	10.3562
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.4107	1.4107	2.4107	3.4107	4.4107	5.4107	6.4107	7.4107	8.4107	9.4107	10.3176	10.3562	10.3562	10.3562	10.3562	10.3562	10.3562
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.7828	1.7828	2.7828	3.7828	4.7828	5.7828	6.7828	7.7828	8.7828	9.7828	10.3176	10.3176	10.3176	10.3176	10.3176	10.3176
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.2867	1.2867	2.2867	3.2867	4.2867	5.2867	6.2867	7.2867	8.2867	9.2867	10.2867	10.4493	10.4493	10.4493	10.4493	10.4493
0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.6588	1.6588	2.6588	3.6588	4.6588	5.6588	6.6588	7.6588	8.6588	9.6588	10.3176	10.3176	10.3176	10.3176	10.3176

↑ aktive op row histogram

Syntax: aktive op row histogram src ?(param value)...? [→ definition]

Returns image with input rows transformed into a histogram of bins values.

The result is an image of bins-sized histogram rows with height and depth of the input.

Input	Description
src	Source image

Parameter	Type	Default	Description
bins	int	256	The number of bins held by a single histogram. The pixel values are quantized to fit. Only values in the range of [0..1] are considered valid. Values outside of that range are placed into the smallest/largest bin. The default quantizes the image values to 8-bit.

Examples

aktive op row histogram @1 bins 8

geometry(0 0 32 32 1)

32	0	0	0	0	0	0	0
32	0	0	0	0	0	0	0
32	0	0	0	0	0	0	0
32	0	0	0	0	0	0	0
32	0	0	0	0	0	0	0
32	0	0	0	0	0	0	0
26	0	1	0	2	0	0	3
21	1	0	1	0	1	1	7
17	0	1	0	2	0	0	12
13	1	0	1	0	1	0	16
10	0	1	0	1	0	0	20
6	1	0	1	0	1	0	23
6	0	0	0	1	0	0	25
6	0	1	0	0	0	0	25
7	0	0	0	0	0	0	25
7	0	0	0	0	1	0	24
7	0	0	1	0	0	0	24
7	2	0	1	0	1	0	21
11	0	1	1	1	0	0	18
14	1	0	1	1	2	0	13
18	0	2	0	1	0	0	11
21	1	1	0	0	0	0	9
22	0	0	0	1	1	0	8
22	0	0	1	0	0	0	9
21	2	0	0	0	0	0	9
22	0	0	1	0	0	0	9
22	0	0	0	1	1	0	8
22	0	1	0	0	0	0	9
22	0	1	0	0	0	0	9
22	0	0	0	1	1	0	8
22	0	0	1	0	0	0	9
21	2	0	0	0	0	0	9

↑ aktive op row max

Syntax: aktive op row max src [→ definition]

Returns image with input rows compressed to a single value, the maximum of the row values. The result is a single-column image with height and depth of the input.

The part about the depth of the input means that the bands in each row are handled separately.

Input	Description
src	Source image

Examples

aktive op row max @1

geometry(0 0 32 32 1)

0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1

↑ aktive op row mean

Syntax: aktive op row mean src [→ definition]

Returns image with input rows compressed to a single value, the arithmetic mean of the row values. The result is a single-column image with height and depth of the input.

The part about the depth of the input means that the bands in each row are handled separately.

Input	Description
src	Source image

Examples

aktive op row mean @1

geometry(0 0 32 32 1)

0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.1335
0.2862
0.4186
0.5399
0.6521
0.7587
0.7977
0.7795
0.7628
0.7432
0.7277
0.7000
0.6332
0.5225
0.4133
0.3296
0.3224
0.3265
0.3224
0.3265
0.3224
0.3236
0.3236
0.3224
0.3265
0.3224

↑ aktive op row median

Syntax: aktive op row median src [→ definition]

Returns image with input rows compressed to a single value, the median of the sorted row values.

The result is a single-row image with width and depth of the input

Input	Description
src	Source image

↑ aktive op row min

Syntax: aktive op row min src [→ definition]

Returns image with input rows compressed to a single value, the minimum of the row values. The result is a single-column image with height and depth of the input.

The part about the depth of the input means that the bands in each row are handled separately.

Input	Description
src	Source image

Examples

aktive op row min @1

geometry(0 0 32 32 1)

0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

↑ aktive op row otsu

Syntax: aktive op row otsu src [→ definition]

Returns image with the input rows compressed into an otsu threshold.

This assumes as input an image of row histograms.

The result has the same height and depth as the input.

The result has a single column.

Input	Description
src	Source image

Examples

aktive op row otsu [aktive op row histogram @1]

geometry(0 0 32 32 1)

0
0
0
0
0
0
85
120
85
120
85
120
1
10
106
1
74
1
85
120
106
106
1
74
1
74
1
106
106
1
74
1

↑ aktive op row profile

Syntax: aktive op row profile src [→ definition]

Returns image with input rows transformed into a profile.

Where a profile contains, per row, the distance of the first pixel != 0

from the left border of the input.

The result is a single-column image with height and depth of the input.

Input	Description
src	Source image

Examples

aktive op row profile @1

geometry(0 0 32 32 1)

32
32
32
32
32
32
8
7
6
6
6
6
6
6
7
8
8
9
9
10
10
11
12
12
13
13
14
14
15
16
16
17

↑ aktive op row rank

Syntax: aktive op row rank src ?(param value)...? [→ definition]

Returns image with input rows compressed to a single value, the chosen rank of the sorted row values.

The result is a single-column image with height and depth of the input

Input	Description
src	Source image

Parameter	Type	Default	Description
rank	int	-1	Index of the sorted values to return. Default creates a median filter. 0 creates min-filter.

↑ aktive op row stddev

Syntax: aktive op row stddev src [→ definition]

Returns image with input rows compressed to a single value, the standard deviation of the row values. The result is a single-column image with height and depth of the input.

The part about the depth of the input means that the bands in each row are handled separately.

Input	Description
src	Source image

Examples

aktive op row stddev @1

geometry(0 0 32 32 1)

0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.2917
0.4242
0.4650
0.4758
0.4556
0.4014
0.3919
0.4099
0.4164
0.4307
0.4379
0.4438
0.4516
0.4667
0.4602
0.4525
0.4532
0.4575
0.4521
0.4575
0.4532
0.4556
0.4556
0.4532
0.4575
0.4521

↑ aktive op row sum

Syntax: aktive op row sum src [→ definition]

Returns image with input rows compressed to a single value, the sum of the row values. The result is a single-column image with height and depth of the input.

The part about the depth of the input means that the bands in each row are handled separately.

Input	Description
src	Source image

Examples

aktive op row sum @1

geometry(0 0 32 32 1)

0
0
0
0
0
0
4
9
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↑ aktive op row sumsquared

Syntax: aktive op row sumsquared src [→ definition]

Returns image with input rows compressed to a single value, the sum of the squared row values. The result is a single-column image with height and depth of the input.

The part about the depth of the input means that the bands in each row are handled separately.

Input	Description
src	Source image

Examples

aktive op row sumsquared @1

geometry(0 0 32 32 1)

0
0
0
0
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0
3
8
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↑ aktive op row variance

Syntax: aktive op row variance src [→ definition]

Returns image with input rows compressed to a single value, the variance of the row values. The result is a single-column image with height and depth of the input.

The part about the depth of the input means that the bands in each row are handled separately.

Input	Description
src	Source image

Examples

aktive op row variance @1

geometry(0 0 32 32 1)

0.0000
0.0000
0.0000
0.0000
0.0000
0.0000
0.0851
0.1799
0.2163
0.2264
0.2075
0.1611
0.1536
0.1681
0.1734
0.1855
0.1918
0.1970
0.2039
0.2178
0.2118
0.2048
0.2054
0.2093
0.2044
0.2093
0.2054
0.2075
0.2075
0.2054
0.2093
0.2044

↑ aktive op tile histogram

Syntax: aktive op tile histogram src ?(param value)...? [→ definition]

Returns image with input tiles transformed into a histogram of bins values.

Only single-band images are legal inputs. The result will have bins bands.

Beware, the operator consumes overlapping tiles, not just adjacent.

Beware, the result image is shrunken by 2*radius in width and height relative to the input. Inputs smaller than that are rejected.

If shrinkage is not desired add a border to the input using one of the aktive op embed ... operators before applying this operator.

The prefered embedding for histogram is black. It is chosen to have minimal to no impact on the statistics at the original input's borders.

Input	Description
src	Source image

Parameter	Type	Default	Description
radius	uint		Tile size as radius from center. Full width and height of the tile are `2*radius+1`.
bins	int	256	The number of bins held by a single histogram. The pixel values are quantized to fit. Only values in the range of [0..1] are considered valid. Values outside of that range are placed into the smallest/largest bin. The default quantizes the image values to 8-bit.

↑ aktive op tile max

Syntax: aktive op tile max src (param value)... [→ definition]

Returns image containing the maximum of the tile values, for all tiles of radius R in the input.

Beware, "all tiles" means that the operator consumes overlapping tiles, not just adjacent.

Beware, the result image is shrunken by 2*radius in width and height relative to the input. Inputs smaller than that are rejected.

If shrinkage is not desired add a border to the input using one of the aktive op embed ... operators before applying this operator.

The prefered embedding for maximum is mirror. It is chosen to have minimal to no impact on the statistics at the original input's borders.

The input bands are handled separately.

Input	Description
src	Source image

Parameter	Type	Default	Description
radius	uint		Tile size as radius from center. Full width and height of the tile are `2*radius+1`.

↑ aktive op tile mean

Syntax: aktive op tile mean src (param value)... [→ definition]

Returns image containing the arithmetic mean of the tile values, for all tiles of radius R in the input.

Beware, "all tiles" means that the operator consumes overlapping tiles, not just adjacent.

Beware, the result image is shrunken by 2*radius in width and height relative to the input. Inputs smaller than that are rejected.

If shrinkage is not desired add a border to the input using one of the aktive op embed ... operators before applying this operator.

The prefered embedding for arithmetic mean is mirror. It is chosen to have minimal to no impact on the statistics at the original input's borders.

The input bands are handled separately.

Input	Description
src	Source image

Parameter	Type	Default	Description
radius	uint		Tile size as radius from center. Full width and height of the tile are `2*radius+1`.

↑ aktive op tile median

Syntax: aktive op tile median src (param value)... [→ definition]

Returns image with input tiles compressed to a single value, the median of the sorted tile values.

Beware, the operator consumes overlapping tiles, not just adjacent.

Beware, the result image is shrunken by 2*radius in width and height relative to the input. Inputs smaller than that are rejected.

If shrinkage is not desired add a border to the input using one of the aktive op embed ... operators before applying this operator.

The prefered embedding for rank is mirror. It is chosen to have minimal to no impact on the statistics at the original input's borders.

The input bands are handled separately.

Input	Description
src	Source image

Parameter	Type	Default	Description
radius	uint		Tile size as radius from center. Full width and height of the tile are `2*radius+1`.

↑ aktive op tile min

Syntax: aktive op tile min src (param value)... [→ definition]

Returns image containing the minimum of the tile values, for all tiles of radius R in the input.

Beware, "all tiles" means that the operator consumes overlapping tiles, not just adjacent.

Beware, the result image is shrunken by 2*radius in width and height relative to the input. Inputs smaller than that are rejected.

If shrinkage is not desired add a border to the input using one of the aktive op embed ... operators before applying this operator.

The prefered embedding for minimum is mirror. It is chosen to have minimal to no impact on the statistics at the original input's borders.

The input bands are handled separately.

Input	Description
src	Source image

Parameter	Type	Default	Description
radius	uint		Tile size as radius from center. Full width and height of the tile are `2*radius+1`.

↑ aktive op tile rank

Syntax: aktive op tile rank src ?(param value)...? [→ definition]

Returns image with input tiles compressed to a single value, the chosen rank of the sorted tile values.

Beware, the operator consumes overlapping tiles, not just adjacent.

Beware, the result image is shrunken by 2*radius in width and height relative to the input. Inputs smaller than that are rejected.

If shrinkage is not desired add a border to the input using one of the aktive op embed ... operators before applying this operator.

The prefered embedding for rank is mirror. It is chosen to have minimal to no impact on the statistics at the original input's borders.

The input bands are handled separately.

Input	Description
src	Source image

Parameter	Type	Default	Description
radius	uint		Tile size as radius from center. Full width and height of the tile are `2*radius+1`.
rank	int	-1	Index of the sorted values to return. Default creates a median filter. 0 creates min-filter.

↑ aktive op tile stddev

Syntax: aktive op tile stddev src (param value)... [→ definition]

Returns image containing the standard deviation of the tile values, for all tiles of radius R in the input.

Beware, "all tiles" means that the operator consumes overlapping tiles, not just adjacent.

Beware, the result image is shrunken by 2*radius in width and height relative to the input. Inputs smaller than that are rejected.

If shrinkage is not desired add a border to the input using one of the aktive op embed ... operators before applying this operator.

The prefered embedding for standard deviation is mirror. It is chosen to have minimal to no impact on the statistics at the original input's borders.

The input bands are handled separately.

Input	Description
src	Source image

Parameter	Type	Default	Description
radius	uint		Tile size as radius from center. Full width and height of the tile are `2*radius+1`.

↑ aktive op tile sum

Syntax: aktive op tile sum src (param value)... [→ definition]

Returns image containing the sum of the tile values, for all tiles of radius R in the input.

Beware, "all tiles" means that the operator consumes overlapping tiles, not just adjacent.

Beware, the result image is shrunken by 2*radius in width and height relative to the input. Inputs smaller than that are rejected.

If shrinkage is not desired add a border to the input using one of the aktive op embed ... operators before applying this operator.

The prefered embedding for sum is black. It is chosen to have minimal to no impact on the statistics at the original input's borders.

The input bands are handled separately.

Input	Description
src	Source image

Parameter	Type	Default	Description
radius	uint		Tile size as radius from center. Full width and height of the tile are `2*radius+1`.

↑ aktive op tile sumsquared

Syntax: aktive op tile sumsquared src (param value)... [→ definition]

Returns image containing the sum of the squared tile values, for all tiles of radius R in the input.

Beware, "all tiles" means that the operator consumes overlapping tiles, not just adjacent.

Beware, the result image is shrunken by 2*radius in width and height relative to the input. Inputs smaller than that are rejected.

If shrinkage is not desired add a border to the input using one of the aktive op embed ... operators before applying this operator.

The prefered embedding for sum is black. It is chosen to have minimal to no impact on the statistics at the original input's borders.

The input bands are handled separately.

Input	Description
src	Source image

Parameter	Type	Default	Description
radius	uint		Tile size as radius from center. Full width and height of the tile are `2*radius+1`.

↑ aktive op tile variance

Syntax: aktive op tile variance src (param value)... [→ definition]

Returns image containing the variance of the tile values, for all tiles of radius R in the input.

Beware, "all tiles" means that the operator consumes overlapping tiles, not just adjacent.

Beware, the result image is shrunken by 2*radius in width and height relative to the input. Inputs smaller than that are rejected.

If shrinkage is not desired add a border to the input using one of the aktive op embed ... operators before applying this operator.

The prefered embedding for variance is mirror. It is chosen to have minimal to no impact on the statistics at the original input's borders.

The input bands are handled separately.

Input	Description
src	Source image

Parameter	Type	Default	Description
radius	uint		Tile size as radius from center. Full width and height of the tile are `2*radius+1`.

Artifact [444709c035]

Artifact 444709c035112770923a111fdd4d1114f6012996973fd0ec3e48f62b1de868ed:

Documentation -- Reference Pages -- transform statistics

<anchor='top'> Table Of Contents

Operators

Operators

↑ aktive op band arg ge

↑ aktive op band arg gt

↑ aktive op band arg le

↑ aktive op band arg lt

↑ aktive op band arg max

↑ aktive op band arg min

↑ aktive op band cumulative

↑ aktive op band histogram

↑ aktive op band max

↑ aktive op band mean

↑ aktive op band median

↑ aktive op band min

↑ aktive op band otsu

↑ aktive op band rank

↑ aktive op band stddev

↑ aktive op band sum

↑ aktive op band sumsquared

↑ aktive op band variance

↑ aktive op column arg max

Examples

↑ aktive op column arg min

Examples

↑ aktive op column cumulative

Examples

↑ aktive op column histogram

Examples

↑ aktive op column max

Examples

↑ aktive op column mean

Examples

↑ aktive op column median

↑ aktive op column min

Examples

↑ aktive op column otsu

Examples

↑ aktive op column profile

Examples

↑ aktive op column rank

↑ aktive op column stddev

Examples

↑ aktive op column sum

Examples

↑ aktive op column sumsquared

Examples

↑ aktive op column variance

Examples

↑ aktive op image histogram

Examples

↑ aktive op row arg max

Examples

↑ aktive op row arg min

Examples

↑ aktive op row cumulative

Examples

↑ aktive op row histogram

Examples

↑ aktive op row max

Examples

↑ aktive op row mean

Examples

↑ aktive op row median

↑ aktive op row min

Examples

↑ aktive op row otsu

Examples

↑ aktive op row profile

Examples

↑ aktive op row rank

↑ aktive op row stddev

Examples

↑ aktive op row sum

Examples

↑ aktive op row sumsquared

Examples