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Diffstat (limited to 'macros/ImageProcessing/imgproc/CV_CornerHarris.sci')
| -rw-r--r-- | macros/ImageProcessing/imgproc/CV_CornerHarris.sci | 49 |
1 files changed, 24 insertions, 25 deletions
diff --git a/macros/ImageProcessing/imgproc/CV_CornerHarris.sci b/macros/ImageProcessing/imgproc/CV_CornerHarris.sci index fb25612b..ccb83cb7 100644 --- a/macros/ImageProcessing/imgproc/CV_CornerHarris.sci +++ b/macros/ImageProcessing/imgproc/CV_CornerHarris.sci @@ -12,42 +12,41 @@ function edges = CV_CornerHarris(srcimg,blocksize,ksize,k,border_type) //Finds edges in image using Harris algorithm // // Calling Sequence -// edges = CV_CornerHarris(srcimg,blocksize,ksize,k,border_type) +// edges = CV_CornerHarris(srcimg,blocksize,ksize,k,border_type) // // Parameters -// srcimg -> Input single-channel 8-bit or floating-point image. -// blockSize -> Neighborhood size -// ksize -> Aperture parameter for the Sobel() operator. -// k -> Harris detector free parameter. -// borderType -> border mode used to extrapolate pixels outside of the -// image. It can be : -// BORDER_REPLICATE: aaaaaa|abcdefgh|hhhhhhh -// BORDER_REFLECT: fedcba|abcdefgh|hgfedcb -// BORDER_REFLECT_101: gfedcb|abcdefgh|gfedcba -// BORDER_WRAP: cdefgh|abcdefgh|abcdefg -// BORDER_CONSTANT: iiiiii|abcdefgh|iiiiiii +// srcimg: Input single-channel 8-bit or floating-point image. +// blockSize: Neighborhood size +// ksize: Aperture parameter for the Sobel() operator. +// k: Harris detector free parameter. +// border_type: border mode used to extrapolate pixels outside of the image. +// // Description -// The function runs the Harris edge detector on the image. For each -// pixel (x, y) it calculates a 2 * 2 gradient covariance matrix M(x,y) -// over a blockSize * blockSize neighborhood. Then, it computes the -// following characteristic: -// dst(x,y) = det(M(x,y)) - k .tr(M(x,y))^2 -// Corners in the image can be found as the local maxima of this -// response map +// The function runs the Harris edge detector on the image. For each pixel (x, y) it calculates a 2 * 2 gradient covariance matrix M(x,y) over a blockSize * blockSize neighborhood. Then, it computes the following characteristic: dst(x,y) = det(M(x,y)) - k .tr(M(x,y))^2. Corners in the image can be found as the local maxima of this response map. // -// Examples -// img = CV_LoadImage('~/test.jpg',0) -// dst = CV_CvtColor(img,"CV_RGB2GRAY"); -// edge = CV_CornerHarris(dst,5,3,1,"BORDER_REPLICATE"); +// border_type can be : +// <itemizedlist> +// <listitem>BORDER_REPLICATE: aaaaaa|abcdefgh|hhhhhhh</listitem> +// <listitem>BORDER_REFLECT: fedcba|abcdefgh|hgfedcb</listitem> +// <listitem>BORDER_REFLECT_101: gfedcb|abcdefgh|gfedcba</listitem> +// <listitem>BORDER_WRAP: cdefgh|abcdefgh|abcdefg</listitem> +// <listitem>BORDER_CONSTANT: iiiiii|abcdefgh|iiiiiii</listitem> +// </itemizedlist> +// +// This is curretly dummy function. It provides no functionality but is required +// for providing support for generating C code for OpenCV // +// Examples +// img = CV_LoadImage('~/test.jpg',0) +// dst = CV_CvtColor(img,"CV_RGB2GRAY"); +// edge = CV_CornerHarris(dst,5,3,1,"BORDER_REPLICATE"); // See also // CV_LoadImage CV_CvtColor // // Authors // Siddhesh Wani // + edges = 0 -// This is curretly dummy function. It provides no functionality but is required -// for providing support for generating C code for OpenCV endfunction |