Image processing functions for blurring, thresholding and edge detection added

1 files changed, 47 insertions, 0 deletions

diff --git a/src/c/imageProcessing/cvimgproc/imcvAdaptThresholds.cpp b/src/c/imageProcessing/cvimgproc/imcvAdaptThresholds.cpp
new file mode 100644
index 0000000..927cfb3
--- /dev/null
+++ b/src/c/imageProcessing/cvimgproc/imcvAdaptThresholds.cpp
@@ -0,0 +1,47 @@
+/* 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 to adaptive threshold a gray scale image*/
+
+#include "types.h"
+#include "cvcore.hpp"
+#include "cvimgproc.hpp"
+
+
+using namespace cv;
+
+Mat imcvAdaptThresholds(Mat src, double t_value, double maxvalue, char* AdaptiveMethod, \
+							char* ThreholdType, double blocksize, double cont)
+{
+
+	Mat dst(src.rows, src.cols, src.type());
+
+	if(strcmp(AdaptiveMethod,"ADAPTIVE_THRESH_MEAN_C") == 0)
+	{
+		if(strcmp(ThreholdType, "THRESH_BINARY") == 0)
+			adaptiveThreshold(src,dst,maxvalue,ADAPTIVE_THRESH_MEAN_C, \
+				THRESH_BINARY,blocksize,cont);
+		else if(strcmp(ThreholdType, "THRESH_BINARY_INV") == 0)
+			adaptiveThreshold(src,dst,maxvalue,ADAPTIVE_THRESH_MEAN_C, \
+				THRESH_BINARY_INV,blocksize,cont);
+	}
+	else if(strcmp(AdaptiveMethod,"ADAPTIVE_THRESH_GAUSSIAN_C") == 0)
+	{
+		if(strcmp(ThreholdType, "THRESH_BINARY") == 0)
+			adaptiveThreshold(src,dst,maxvalue,ADAPTIVE_THRESH_GAUSSIAN_C, \
+				THRESH_BINARY,blocksize,cont);
+		else if(strcmp(ThreholdType, "THRESH_BINARY_INV") == 0)
+			adaptiveThreshold(src,dst,maxvalue,ADAPTIVE_THRESH_GAUSSIAN_C, \
+				THRESH_BINARY_INV,blocksize,cont);
+	}
+	return dst;
+}
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