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author | shamikam | 2017-01-16 02:56:17 +0530 |
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committer | shamikam | 2017-01-16 02:56:17 +0530 |
commit | a6df67e8bcd5159cde27556f4f6a315f8dc2215f (patch) | |
tree | e806e966b06a53388fb300d89534354b222c2cad /macros/integralKernel.sci | |
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Diffstat (limited to 'macros/integralKernel.sci')
-rw-r--r-- | macros/integralKernel.sci | 27 |
1 files changed, 27 insertions, 0 deletions
diff --git a/macros/integralKernel.sci b/macros/integralKernel.sci new file mode 100644 index 0000000..7276e27 --- /dev/null +++ b/macros/integralKernel.sci @@ -0,0 +1,27 @@ +function [ kernel ] = integralKernel(bbox, weights) +// This function creates a filter to be used with integral images. +// +// Calling Sequence +// results = intergralKernel(bbox, weight); +// +// Parameters +// results: A structure kernel which contains bounding boxes, weights, filter coefficients, center of filter, size of filter, orientation of filter +// bboxes: bounding boxes that define the filter +// weights: weights corresponding to each of the bbox +// +// Description +// Integral kernel creates box filter which can be used with integral images. +// +// Examples +// bbox = [1 2 3 4; 5 6 7 8]; +// weights = [10 11]; +// results = integralKernel(bbox, weights); +// +// Authors +// Tanmay Chaudhari + + [t1 t2 t3 t4 t5] = opencv_integralKernel(bbox, weights) + + kernel = struct("bbox",t1(1),"weights",t2,"coefficients",t3(1),"centre",t4(1),"filterSize",t5) + +endfunction |