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-rw-r--r--macros/ImageProcessing/imgproc/CV_GaussianBlur.sci52
1 files changed, 27 insertions, 25 deletions
diff --git a/macros/ImageProcessing/imgproc/CV_GaussianBlur.sci b/macros/ImageProcessing/imgproc/CV_GaussianBlur.sci
index 0799c4d..814355e 100644
--- a/macros/ImageProcessing/imgproc/CV_GaussianBlur.sci
+++ b/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