Revert "LinearAlgebra Function Added"

1 files changed, 24 insertions, 25 deletions

diff --git a/2.3-1/macros/ImageProcessing/imgproc/CV_CornerHarris.sci b/2.3-1/macros/ImageProcessing/imgproc/CV_CornerHarris.sci
index fb25612b..ccb83cb7 100644
--- a/2.3-1/macros/ImageProcessing/imgproc/CV_CornerHarris.sci
+++ b/2.3-1/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