12 files changed, 209 insertions, 206 deletions
diff --git a/2.3-1/macros/ImageProcessing/imgproc/CV_AdaptiveThreshold.sci b/2.3-1/macros/ImageProcessing/imgproc/CV_AdaptiveThreshold.sci
index a922d798..e594f372 100644
--- a/2.3-1/macros/ImageProcessing/imgproc/CV_AdaptiveThreshold.sci
+++ b/2.3-1/macros/ImageProcessing/imgproc/CV_AdaptiveThreshold.sci
@@ -8,28 +8,26 @@
 // Organization: FOSSEE, IIT Bombay
 // Email: toolbox@scilab.in
 
-function cvtimg = CV_AdaptiveThreshold(srcimg,max_value,adaptive_method, ...
-					thresh_type, block_size, C)
+function cvtimg = CV_AdaptiveThreshold(srcimg,max_value,adaptive_method,thresh_type, block_size, C)
 // function to adaptively threshold input image
 //
 // Calling Sequence
-//     dst = CV_AdaptiveThreshold(srcimg,max_value,adaptive_method, ...
-//				thresh_type,blk_size,c)
+//     dst = CV_AdaptiveThreshold(srcimg,max_value,adaptive_method,thresh_type,blk_size,c)
 //
 // Parameters
-//     	src -> Source 8-bit single-channel image.
-//		max_value -> Non-zero value assigned to the pixels for which the 
-//					condition is satisfied. See the details below.
-//		adaptive_method -> Adaptive thresholding algorithm to use, 
-//					ADAPTIVE_THRESH_MEAN_C or ADAPTIVE_THRESH_GAUSSIAN_C . 
-//		thresh_type -> Thresholding type that must be either THRESH_BINARY 
-//					or THRESH_BINARY_INV .
-//		blockSize -> Size of a pixel neighborhood that is used to calculate 
-//					a threshold value for the pixel: 3, 5, 7, and so on.
-//		C -> Constant subtracted from the mean or weighted mean.Normally, 
-//					it is positive but may be zero or negative as well.
+//     	src : Source 8-bit single-channel image.
+//	max_value : Non-zero value assigned to the pixels for which the condition is satisfied. See the details below.
+//	adaptive_method : Adaptive thresholding algorithm to use, ADAPTIVE_THRESH_MEAN_C or ADAPTIVE_THRESH_GAUSSIAN_C . 
+//	thresh_type : Thresholding type that must be either THRESH_BINARY or THRESH_BINARY_INV .
+//	blockSize : Size of a pixel neighborhood that is used to calculate a threshold value for the pixel: 3, 5, 7, and so on.
+//	C : Constant subtracted from the mean or weighted mean.Normally, it is positive but may be zero or negative as well.
+//
 // Description
-//		This function can be used for adaptively threshold given image
+//	This function can be used for adaptively threshold given image
+//
+// 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_AdaptiveThreshold(img,255,"ADAPTIVE_THRESH_MEAN_C", ...
@@ -41,8 +39,7 @@ function cvtimg = CV_AdaptiveThreshold(srcimg,max_value,adaptive_method, ...
 // Authors
 //     Siddhesh Wani
 //
+
 cvtimg = 0
-// This is curretly dummy function. It provides no functionality but is required 
-// for providing support for generating C code for OpenCV
 
 endfunction
diff --git a/2.3-1/macros/ImageProcessing/imgproc/CV_Blur.sci b/2.3-1/macros/ImageProcessing/imgproc/CV_Blur.sci
index b81df491..784e4c96 100644
--- a/2.3-1/macros/ImageProcessing/imgproc/CV_Blur.sci
+++ b/2.3-1/macros/ImageProcessing/imgproc/CV_Blur.sci
@@ -8,28 +8,34 @@
 // Organization: FOSSEE, IIT Bombay
 // Email: toolbox@scilab.in
 
-function cvtimg = CV_Blur(srcimg,ksize_width,ksize_height,anchor_x,anchor_y, ...
-							border_type)
+function cvtimg = CV_Blur(srcimg,ksize_width,ksize_height,anchor_x,anchor_y,border_type)
 // function to blur image using normalised box filter
 //
 // Calling Sequence
-//     dst = CV_Blur(srcimg,ksize_width,ksize_height,anchor_x,anchor_y, ...
-//				border_type)
+//     dst = CV_Blur(srcimg,ksize_width,ksize_height,anchor_x,anchor_y,border_type)
 //
 // Parameters
-//     	srcimg -> Source image.
-//		ksize_width, ksize_height -> blurring kernel size.
-//		anchor_x, anchor_y -> x,y coordinates of anchor point
-//		borderType -> border mode used to extrapolate pixels outside of the 
-//				image. 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 : Source image.
+//	ksize_width, ksize_height : blurring kernel size.
+//	anchor_x, anchor_y : x,y coordinates of anchor point
+//	border_type : border mode used to extrapolate pixels outside of the image.
+//
 // Description
-//		This function can be used for blurring image using normalised box 
-//		filter. Image can be of any depth and have any no of channels. 
+//	This function can be used for blurring image using normalised box 
+//	filter. Image can be of any depth and have any no of channels. 
+//
+// 	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_Blur(img,3,3,-1,-1,"BORDER_CONSTANT")
@@ -40,8 +46,7 @@ function cvtimg = CV_Blur(srcimg,ksize_width,ksize_height,anchor_x,anchor_y, ...
 // Authors
 //     Siddhesh Wani
 //
+
 cvtimg = 0
-// This is curretly dummy function. It provides no functionality but is required 
-// for providing support for generating C code for OpenCV
 
 endfunction
diff --git a/2.3-1/macros/ImageProcessing/imgproc/CV_Canny.sci b/2.3-1/macros/ImageProcessing/imgproc/CV_Canny.sci
index b21028a0..be1c2ccb 100644
--- a/2.3-1/macros/ImageProcessing/imgproc/CV_Canny.sci
+++ b/2.3-1/macros/ImageProcessing/imgproc/CV_Canny.sci
@@ -15,33 +15,33 @@ function edges = CV_Canny(srcimg,threhold1,threshold2,aperture_size,L2gradient)
 //     edges = CV_Canny(srcimg,threhold1,threshold2,aperture_size,L2gradient)
 //
 // Parameters
-//		srcimg -> single-channel 8-bit input image.
-//		threshold1 -> first threshold for the hysteresis procedure.
-//		threshold2 -> second threshold for the hysteresis procedure.
-//		aperture_size -> aperture size for the Sobel() operator.
-//		L2gradient -> a flag, indicating whether a more accurate  
-//				L_2 norm  =sqrt{(dI/dx)^2 + (dI/dy)^2} should be used to 
-//				calculate the image gradient magnitude ( L2gradient=1 ),
-//				or whether the default  L_1 norm  =|dI/dx|+|dI/dy| is enough
-//				( L2gradient=0).
+//	srcimg : single-channel 8-bit input image.
+//	threshold1 : first threshold for the hysteresis procedure.
+//	threshold2 : second threshold for the hysteresis procedure.
+//	aperture_size : aperture size for the Sobel() operator.
+//	L2gradient : a flag, indicating whether a more accurate  
+//		
 // Description
-//		This function can be used for finding edes in single channel 8 bit 
-//		image. 'aperture_size' and 'L2gradient' are optionals. By default,
-//		aperture_size is 3 and L2gradient is false.
+//	This function can be used for finding edes in single channel 8 bit 
+//	image. 'aperture_size' and 'L2gradient' are optionals. By default,
+//	aperture_size is 3 and L2gradient is false.
+//
+// For L2gradient: L_2 norm  =sqrt{(dI/dx)^2 + (dI/dy)^2} should be used to calculate the image gradient magnitude (L2gradient=1 ), or whether the default  L_1 norm  =|dI/dx|+|dI/dy| is enough (L2gradient=0). 
+//
+// 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_Canny(dst,50,100,3,0);
-//
+//	img = CV_LoadImage('~/test.jpg',0)
+//	dst = CV_CvtColor(img,"CV_RGB2GRAY");
+//	edge = CV_Canny(dst,50,100,3,0);
 // 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
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
diff --git a/2.3-1/macros/ImageProcessing/imgproc/CV_CvtColor.sci b/2.3-1/macros/ImageProcessing/imgproc/CV_CvtColor.sci
index 766844bf..dcf756c0 100644
--- a/2.3-1/macros/ImageProcessing/imgproc/CV_CvtColor.sci
+++ b/2.3-1/macros/ImageProcessing/imgproc/CV_CvtColor.sci
@@ -15,27 +15,28 @@ function cvtimg = CV_CvtColor(srcimg,code)
 //     CV_CvtColor(srcimg,code)
 //
 // Parameters
-//     srcimg: source image to be converted
-//	   dstimg: destination image in which to store converted image
-//	   code: String specifying conversion type. Same as defined in OpenCV
-//			for eg. 'CV_RGB2GRAY' for conversion from RGB image to grayscale image
-//	   dstCn: no of channels in destination image (0 by default)
+//	srcimg: source image to be converted
+//	dstimg: destination image in which to store converted image
+//	code: String specifying conversion type. Same as defined in OpenCV. for eg. 'CV_RGB2GRAY' for conversion from RGB image to grayscale image
+//	dstCn: no of channels in destination image (0 by default)
 //
 // Description
-//		This function can be used for converting an image to other colorspace.
-//		Refer OpenCV documentation for list of available conversions
-// Examples
-//		img = CV_LoadImage('~/test.jpg',0)
-//		dst = CV_CvtColor(img,'CV_RGB2GRAY')
+//	This function can be used for converting an image to other colorspace.
+//	Refer OpenCV documentation for list of available conversions
+//
+// 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')
 // See also
 //     CV_LoadImage CV_CreateImage
 //
 // Authors
 //     Siddhesh Wani
 //
+
 cvtimg = 0
-// This is curretly dummy function. It provides no functionality but is required 
-// for providing support for generating C code for OpenCV
 
 endfunction
diff --git a/2.3-1/macros/ImageProcessing/imgproc/CV_Dilate.sci b/2.3-1/macros/ImageProcessing/imgproc/CV_Dilate.sci
index 196cab85..25e2c844 100644
--- a/2.3-1/macros/ImageProcessing/imgproc/CV_Dilate.sci
+++ b/2.3-1/macros/ImageProcessing/imgproc/CV_Dilate.sci
@@ -8,45 +8,44 @@
 // Organization: FOSSEE, IIT Bombay
 // Email: toolbox@scilab.in
 
-function cvtimg = CV_Dilate(srcimg,dilation_type,dilation_size,iterations, ...
-					border_type,border_value)
+function cvtimg = CV_Dilate(srcimg,dilation_type,dilation_size,iterations,border_type,border_value)
 // dilates an image by using a specific structuring element.
 //
 // Calling Sequence
-//     cvtimg = CV_Dilate(srcimg,dilation_type,dilation_size,[iterations, ...
-//					border_type,border_value])
+//     cvtimg = CV_Dilate(srcimg,dilation_type,dilation_size,[iterations,border_type,border_value])
 // Parameters
-//     	src -> input image; the number of channels can be arbitrary, but the 
-//				depth should be one of CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.
-//		dilation_type -> can be one of :	MORPH_RECT, MORPH_CROSS, 
-//							MORPH_ELLIPSE	
-//		dilation_size -> size of kernel to be used for erosion. Must be odd
-//		iterations -> number of times erosion is applied.
-//		border_type -> pixel extrapolation method. 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  
-//		border_value -> border value in case of a constant border 
+//     	src : input image; the number of channels can be arbitrary, but the depth should be one of CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.
+//	dilation_type : can be one of MORPH_RECT, MORPH_CROSS,MORPH_ELLIPSE	
+//	dilation_size : size of kernel to be used for erosion. Must be odd
+//	iterations : number of times erosion is applied.
+//	border_type : pixel extrapolation method.
+//	border_value : border value in case of a constant border 
+//
 // Description
-//		This function can be used for eroding an image. Kernel used for erosion
-//		is decided by type and size. Size must always be odd. Anchor pint of
-//		kernel is always center of kernel. Input arguements 'iterations(1),
-//		border_type(BORDER_CONSTANT) and border_value' are optionals. Whwn not
-//		specified, default values as as mentioned in brackets. 
-// Examples
-//		img = CV_LoadImage('~/test.jpg',0)
-//		dst = CV_Erode(img,"MORPH_RECT",3,1,"BORDER_CONSTANT",0);
+//	This function can be used for eroding an image. Kernel used for erosion is decided by type and size. Size must always be odd. Anchor pint of kernel is always center of kernel. Input arguements 'iterations(1), border_type(BORDER_CONSTANT) and border_value' are optionals. Whwn not specified, default values as as mentioned in brackets. 
+//
+// 	border_type can be :
+//	<itemizedlist>
+//	<listitem><para> BORDER_REPLICATE:     	aaaaaa|abcdefgh|hhhhhhh </para></listitem>
+//	<listitem><para> BORDER_REFLECT:       	fedcba|abcdefgh|hgfedcb </para></listitem>
+//	<listitem><para> BORDER_REFLECT_101:   	gfedcb|abcdefgh|gfedcba </para></listitem>
+//	<listitem><para> BORDER_WRAP:          	cdefgh|abcdefgh|abcdefg </para></listitem>
+//	<listitem><para> BORDER_CONSTANT:	iiiiii|abcdefgh|iiiiiii </para></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_Erode(img,"MORPH_RECT",3,1,"BORDER_CONSTANT",0);
 // See also
 //     CV_LoadImage CV_Erode
 //
 // Authors
 //     Siddhesh Wani
 //
+
 cvtimg = 0
-// This is curretly dummy function. It provides no functionality but is required 
-// for providing support for generating C code for OpenCV
 
 endfunction
diff --git a/2.3-1/macros/ImageProcessing/imgproc/CV_DistanceTransform.sci b/2.3-1/macros/ImageProcessing/imgproc/CV_DistanceTransform.sci
index e8772958..1f304a68 100644
--- a/2.3-1/macros/ImageProcessing/imgproc/CV_DistanceTransform.sci
+++ b/2.3-1/macros/ImageProcessing/imgproc/CV_DistanceTransform.sci
@@ -15,26 +15,26 @@ function dstimg = CV_DistanceTransform(srcimg,distance_type,mask_size)
 //     dst = CV_DistanceTransform(srcimg,distance_type,mask_size)
 //
 // Parameters
-//     	srcimg -> Source 8-bit single-channel image.
-//		distance_type -> Type of distance. It can be 
-//							CV_DIST_L1, CV_DIST_L2 , or CV_DIST_C
-//		mask_size -> Size of the distance transform mask
+//     	srcimg : Source 8-bit single-channel image.
+//	distance_type : Type of distance. It can be CV_DIST_L1, CV_DIST_L2 , or CV_DIST_C
+//	mask_size : Size of the distance transform mask
+//
 // Description
-//		This function can be used to calculate distance to closest zero 
-//		pixel for each pixel of the source image. Output is 32 bit floating
-//		point, single channel image of the same size as that of source image.
-// Examples
-//		img = CV_LoadImage('~/test.jpg',0)
-//		dst = CV_DistanceTransform(img,"CV_DIST_L1",3)
+//	This function can be used to calculate distance to closest zero pixel for each pixel of the source image. Output is 32 bit floatingpoint, single channel image of the same size as that of source image.
+//
+// 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_DistanceTransform(img,"CV_DIST_L1",3)
 // See also
 //     CV_LoadImage CV_CreateImage CV_CvtColor
 //
 // Authors
 //     Siddhesh Wani
 //
+
 dstimg = 0
-// This is curretly dummy function. It provides no functionality but is required 
-// for providing support for generating C code for OpenCV
 
 endfunction
diff --git a/2.3-1/macros/ImageProcessing/imgproc/CV_Erode.sci b/2.3-1/macros/ImageProcessing/imgproc/CV_Erode.sci
index d77e9e69..73f3ee59 100644
--- a/2.3-1/macros/ImageProcessing/imgproc/CV_Erode.sci
+++ b/2.3-1/macros/ImageProcessing/imgproc/CV_Erode.sci
@@ -8,44 +8,44 @@
 // Organization: FOSSEE, IIT Bombay
 // Email: toolbox@scilab.in
 
-function cvtimg = CV_Erode(srcimg,erosion_type,erosion_size,iterations, ...
-					border_type,border_value)
+function cvtimg = CV_Erode(srcimg,erosion_type,erosion_size,iterations,border_type,border_value)
 // Erodes an image by using a specific structuring element.
 //
 // Calling Sequence
-//     cvtimg = CV_Erode(srcimg,erosion_type,erosion_size,[iterations, ...
-//					border_type,border_value])
+//     cvtimg = CV_Erode(srcimg,erosion_type,erosion_size,[iterations,border_type,border_value])
 // Parameters
-//     	src -> input image; the number of channels can be arbitrary, but the 
-//				depth should be one of CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.
-//		erosion_type -> can be one of :	MORPH_RECT, MORPH_CROSS, MORPH_ELLIPSE	
-//		erosion_size -> size of kernel to be used for erosion. Must be odd
-//		iterations -> number of times erosion is applied.
-//		border_type -> pixel extrapolation method. 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  
-//		border_value -> border value in case of a constant border 
+//     	src : input image; the number of channels can be arbitrary, but the depth should be one of CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.
+//	erosion_type : can be one of :	MORPH_RECT, MORPH_CROSS, MORPH_ELLIPSE	
+//	erosion_size : size of kernel to be used for erosion. Must be odd
+//	iterations : number of times erosion is applied.
+//	border_type : pixel extrapolation method.
+//	border_value : border value in case of a constant border 
+//
 // Description
-//		This function can be used for eroding an image. Kernel used for erosion
-//		is decided by type and size. Size must always be odd. Anchor pint of
-//		kernel is always center of kernel. Input arguements 'iterations(1),
-//		border_type(BORDER_CONSTANT) and border_value' are optionals. Whwn not
-//		specified, default values as as mentioned in brackets. 
-// Examples
-//		img = CV_LoadImage('~/test.jpg',0)
-//		dst = CV_Erode(img,"MORPH_RECT",3,1,"BORDER_CONSTANT",0);
+//	This function can be used for eroding an image. Kernel used for erosion is decided by type and size. Size must always be odd. Anchor pint of kernel is always center of kernel. Input arguements 'iterations(1), border_type(BORDER_CONSTANT) and border_value' are optionals. Whwn not specified, default values as as mentioned in brackets. 
+//
+// 	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_Erode(img,"MORPH_RECT",3,1,"BORDER_CONSTANT",0);
 // See also
 //     CV_LoadImage CV_Dilate
 //
 // Authors
 //     Siddhesh Wani
 //
+
 cvtimg = 0
-// This is curretly dummy function. It provides no functionality but is required 
-// for providing support for generating C code for OpenCV
 
 endfunction
diff --git a/2.3-1/macros/ImageProcessing/imgproc/CV_GaussianBlur.sci b/2.3-1/macros/ImageProcessing/imgproc/CV_GaussianBlur.sci
index 0799c4dd..814355e0 100644
--- a/2.3-1/macros/ImageProcessing/imgproc/CV_GaussianBlur.sci
+++ b/2.3-1/macros/ImageProcessing/imgproc/CV_GaussianBlur.sci
@@ -8,44 +8,46 @@
 // Organization: FOSSEE, IIT Bombay
 // Email: toolbox@scilab.in
 
-function cvtimg = CV_GaussianBlur(srcimg,ksize_width,ksize_height,sigma_x,sigma_y, ...
-							border_type)
+function cvtimg = CV_GaussianBlur(srcimg,ksize_width,ksize_height,sigma_x,sigma_y,border_type)
 // function to blur image using gaussian filter
 //
 // Calling Sequence
-//     dst = CV_Blur(srcimg,ksize_width,ksize_height,anchor_x,anchor_y, ...
-//				border_type)
+//     cvtimg = CV_GaussianBlur(srcimg,ksize_width,ksize_height,sigma_x,sigma_y,border_type)
 //
 // Parameters
-//     	srcimg -> Source image.
-//		ksize_width, ksize_height -> blurring kernel size. must be odd.
-//		sigmaX -> Gaussian kernel standard deviation in X direction.
-//		sigmaY -> Gaussian kernel standard deviation in Y direction; 
-//					if sigmaY is zero, it is set to be equal to sigmaX, 
-//					if both sigmas are zeros, they are computed from 
-//					ksize.width and ksize.height , respectively 
-//		borderType -> border mode used to extrapolate pixels outside of the 
-//				image. 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 : Source image.
+//	ksize_width, ksize_height : blurring kernel size. must be odd.
+//	sigmaX : Gaussian kernel standard deviation in X direction.
+//	sigmaY : Gaussian kernel standard deviation in Y direction; 
+//	border_type : border mode used to extrapolate pixels outside of the image.
+//
 // Description
-//		This function can be used for blurring image using gaussian 
-//		filter. Image can be of any depth and have any no of channels. 
-// Examples
-//		img = CV_LoadImage('~/test.jpg',0)
-//		dst = CV_GaussianBlur(img,3,3,0,0,"BORDER_CONSTANT")
+//		This function can be used for blurring image using gaussian filter. Image can be of any depth and have any no of channels. 
+//
+//	For sigmaX and sigmaY : if sigmaY is zero, it is set to be equal to sigmaX, if both sigmas are zeros, they are computed from ksize.width and ksize.height , respectively.
 //
+// 	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_GaussianBlur(img,3,3,0,0,"BORDER_CONSTANT")
 // See also
 //     CV_LoadImage CV_Blur, CV_CvtColor
 //
 // Authors
 //     Siddhesh Wani
 //
+
 cvtimg = 0
-// This is curretly dummy function. It provides no functionality but is required 
-// for providing support for generating C code for OpenCV
 
 endfunction
diff --git a/2.3-1/macros/ImageProcessing/imgproc/CV_MedianBlur.sci b/2.3-1/macros/ImageProcessing/imgproc/CV_MedianBlur.sci
index d8f9a900..5f6069a7 100644
--- a/2.3-1/macros/ImageProcessing/imgproc/CV_MedianBlur.sci
+++ b/2.3-1/macros/ImageProcessing/imgproc/CV_MedianBlur.sci
@@ -12,30 +12,29 @@ function cvtimg = CV_MedianBlur(srcimg,ksize)
 // function to blur image using median filter
 //
 // Calling Sequence
-//     dst = CV_Blur(srcimg,ksize_width,ksize_height,anchor_x,anchor_y, ...
-//				border_type)
+//     cvtimg = CV_MedianBlur(srcimg,ksize)
 //
 // Parameters
-//     	srcimg -> input 1-, 3-, or 4-channel image; when ksize is 3 or 5, 
-//				the image depth should be CV_8U, CV_16U, or CV_32F, for 
-//				larger aperture sizes, it can only be CV_8U.
-//		ksize_width -> aperture linear size; it must be odd and greater than 1,
-//				for example: 3, 5, 7 ...
+//     	srcimg : input 1-, 3-, or 4-channel image; when ksize is 3 or 5, the image depth should be CV_8U, CV_16U, or CV_32F, for larger aperture sizes, it can only be CV_8U.
+//	ksize_width : aperture linear size; it must be odd and greater than 1, for example: 3, 5, 7 ...
+//
 // Description
 //		This function can be used for blurring image using median 
 //		filter. Image can be of any depth and have any no of channels. 
-// Examples
-//		img = CV_LoadImage('~/test.jpg',0)
-//		dst = CV_MedianBlur(img,3)
 //
+// 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_MedianBlur(img,3)
 // See also
-//     CV_GaussianBlur CV_Blur, CV_CvtColor
+//     CV_GaussianBlur, CV_Blur, CV_CvtColor
 //
 // Authors
 //     Siddhesh Wani
 //
+
 cvtimg = 0
-// This is curretly dummy function. It provides no functionality but is required 
-// for providing support for generating C code for OpenCV
 
 endfunction
diff --git a/2.3-1/macros/ImageProcessing/imgproc/CV_Threshold.sci b/2.3-1/macros/ImageProcessing/imgproc/CV_Threshold.sci
index 823a5768..0563c360 100644
--- a/2.3-1/macros/ImageProcessing/imgproc/CV_Threshold.sci
+++ b/2.3-1/macros/ImageProcessing/imgproc/CV_Threshold.sci
@@ -16,26 +16,27 @@ function cvtimg = CV_Threshold(srcimg,threshold,max_value,thresh_type)
 //
 // Parameters
 //     	srcimg: source image to be converted
-//	   	threshold: threshold value
-//		max_value: maximum value to be used with THRESH_BINARY and THRESH_BINARY_INV
-//		thresh_type: Type for threshold. It can one of the following:
-//					THRESH_BINARY, THRESH_BINARY_INV, THRESH_TRUNC,
-//					THRESH_TOZERO, THRESH_TOZERO_INV
+//	threshold: threshold value
+//	max_value: maximum value to be used with THRESH_BINARY and THRESH_BINARY_INV
+//	thresh_type: Type for threshold. It can one of the following: THRESH_BINARY, THRESH_BINARY_INV, THRESH_TRUNC, THRESH_TOZERO, THRESH_TOZERO_INV
+//
 // Description
-//		This function can be used for converting an image to other colorspace.
-//		Refer OpenCV documentation for list of available conversions
-// Examples
-//		img = CV_LoadImage('~/test.jpg',0)
-//		dst = CV_Threshold(img,100,255,'THRESH_BINARY')
+//	This function can be used for converting an image to other colorspace.
+//	Refer OpenCV documentation for list of available conversions
+//
+// 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_Threshold(img,100,255,'THRESH_BINARY')
 // See also
 //     CV_LoadImage CV_CreateImage
 //
 // Authors
 //     Siddhesh Wani
 //
+
 cvtimg = 0
-// This is curretly dummy function. It provides no functionality but is required 
-// for providing support for generating C code for OpenCV
 
 endfunction
diff --git a/2.3-1/macros/ImageProcessing/imgproc/lib b/2.3-1/macros/ImageProcessing/imgproc/lib
index 4863059b..cef8f9b8 100644
--- a/2.3-1/macros/ImageProcessing/imgproc/lib
+++ b/2.3-1/macros/ImageProcessing/imgproc/lib