Image processing functions for blurring, thresholding and edge detection added

1 files changed, 48 insertions, 0 deletions

diff --git a/macros/ImageProcessing/imgproc/CV_Canny.sci b/macros/ImageProcessing/imgproc/CV_Canny.sci
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+// Copyright (C) 2016 - IIT Bombay - FOSSEE
+//
+// This file must be used under the terms of the CeCILL.
+// This source file is licensed as described in the file COPYING, which
+// you should have received as part of this distribution.  The terms
+// are also available at
+// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+// Author: Siddhesh Wani
+// Organization: FOSSEE, IIT Bombay
+// Email: toolbox@scilab.in
+
+function edges = CV_Canny(srcimg,threhold1,threshold2,aperture_size,L2gradient)
+//Finds edges in image using Canny algorithm
+//
+// Calling Sequence
+//     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).
+// 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.
+// 
+// Examples
+//		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