Merge pull request #702 from LaurentBerger:PaillouFilter

modules/ximgproc/README.md

@@ -9,3 +9,4 @@ Extended Image Processing
 6. Superpixels
 7. Graph segmentation
 8. Selective search from segmentation
+10. Paillou Filter

modules/ximgproc/doc/ximgproc.bib

@@ -166,3 +166,13 @@
   year={2014},
   organization={IEEE}
 }
+
+@article{paillou1997detecting,
+  title={Detecting step edges in noisy SAR images: a new linear operator},
+  author={Paillou, Philippe},
+  journal={IEEE transactions on geoscience and remote sensing},
+  volume={35},
+  number={1},
+  pages={191--196},
+  year={1997}
+}

modules/ximgproc/include/opencv2/ximgproc.hpp

@@ -48,6 +48,8 @@
 #include "ximgproc/weighted_median_filter.hpp"
 #include "ximgproc/slic.hpp"
 #include "ximgproc/lsc.hpp"
+#include "ximgproc/paillou_filter.hpp"
+
 
 /** @defgroup ximgproc Extended Image Processing
   @{

modules/ximgproc/include/opencv2/ximgproc/paillou_filter.hpp

+/*
+ *  By downloading, copying, installing or using the software you agree to this license.
+ *  If you do not agree to this license, do not download, install,
+ *  copy or use the software.
+ *
+ *
+ *  License Agreement
+ *  For Open Source Computer Vision Library
+ *  (3 - clause BSD License)
+ *
+ *  Redistribution and use in source and binary forms, with or without modification,
+ *  are permitted provided that the following conditions are met :
+ *
+ *  *Redistributions of source code must retain the above copyright notice,
+ *  this list of conditions and the following disclaimer.
+ *
+ *  * Redistributions in binary form must reproduce the above copyright notice,
+ *  this list of conditions and the following disclaimer in the documentation
+ *  and / or other materials provided with the distribution.
+ *
+ *  * Neither the names of the copyright holders nor the names of the contributors
+ *  may be used to endorse or promote products derived from this software
+ *  without specific prior written permission.
+ *
+ *  This software is provided by the copyright holders and contributors "as is" and
+ *  any express or implied warranties, including, but not limited to, the implied
+ *  warranties of merchantability and fitness for a particular purpose are disclaimed.
+ *  In no event shall copyright holders or contributors be liable for any direct,
+ *  indirect, incidental, special, exemplary, or consequential damages
+ *  (including, but not limited to, procurement of substitute goods or services;
+ *  loss of use, data, or profits; or business interruption) however caused
+ *  and on any theory of liability, whether in contract, strict liability,
+ *  or tort(including negligence or otherwise) arising in any way out of
+ *  the use of this software, even if advised of the possibility of such damage.
+ */
+
+#ifndef __OPENCV_PAILLOUFILTER_HPP__
+#define __OPENCV_PAILLOUFILTER_HPP__
+#ifdef __cplusplus
+
+#include <opencv2/core.hpp>
+
+namespace cv {
+namespace ximgproc {
+
+//! @addtogroup ximgproc_filters
+//! @{
+
+/**
+* @brief   Applies Paillou filter to an image.
+*
+* For more details about this implementation, please see @cite paillou1997detecting
+*
+* @param   op          Source 8-bit or 16bit image, 1-channel or 3-channel image.
+* @param   _dst        result CV_32F image with same numeber of channel than op.
+* @param   omega double see paper
+* @param   alpha double see paper
+*
+* @sa GradientPaillouX, GradientPaillouY
+*/
+CV_EXPORTS void GradientPaillouY(InputArray op, OutputArray _dst, double alpha, double omega);
+CV_EXPORTS void GradientPaillouX(InputArray op, OutputArray _dst, double alpha, double omega);
+
+}
+}
+#endif
+#endif

modules/ximgproc/samples/paillou_demo.cpp

+/*
+ *  By downloading, copying, installing or using the software you agree to this license.
+ *  If you do not agree to this license, do not download, install,
+ *  copy or use the software.
+ *
+ *
+ *  License Agreement
+ *  For Open Source Computer Vision Library
+ *  (3 - clause BSD License)
+ *
+ *  Redistribution and use in source and binary forms, with or without modification,
+ *  are permitted provided that the following conditions are met :
+ *
+ *  *Redistributions of source code must retain the above copyright notice,
+ *  this list of conditions and the following disclaimer.
+ *
+ *  * Redistributions in binary form must reproduce the above copyright notice,
+ *  this list of conditions and the following disclaimer in the documentation
+ *  and / or other materials provided with the distribution.
+ *
+ *  * Neither the names of the copyright holders nor the names of the contributors
+ *  may be used to endorse or promote products derived from this software
+ *  without specific prior written permission.
+ *
+ *  This software is provided by the copyright holders and contributors "as is" and
+ *  any express or implied warranties, including, but not limited to, the implied
+ *  warranties of merchantability and fitness for a particular purpose are disclaimed.
+ *  In no event shall copyright holders or contributors be liable for any direct,
+ *  indirect, incidental, special, exemplary, or consequential damages
+ *  (including, but not limited to, procurement of substitute goods or services;
+ *  loss of use, data, or profits; or business interruption) however caused
+ *  and on any theory of liability, whether in contract, strict liability,
+ *  or tort(including negligence or otherwise) arising in any way out of
+ *  the use of this software, even if advised of the possibility of such damage.
+ */
+
+#include <opencv2/core.hpp>
+#include <opencv2/core/utility.hpp>
+#include <opencv2/highgui.hpp>
+#include <opencv2/ximgproc.hpp>
+#include "opencv2/ximgproc/paillou_filter.hpp"
+
+using namespace cv;
+using namespace cv::ximgproc;
+
+#include <iostream>
+using namespace std;
+
+int aa = 100, ww = 10;
+Mat dx, dy;
+UMat img;
+const char* window_name = "Gradient Modulus";
+
+static void DisplayImage(Mat x,string s)
+{
+	vector<Mat> sx;
+	split(x, sx);
+	vector<double> minVal(3), maxVal(3);
+	for (int i = 0; i < static_cast<int>(sx.size()); i++)
+	{
+		minMaxLoc(sx[i], &minVal[i], &maxVal[i]);
+	}
+	maxVal[0] = *max_element(maxVal.begin(), maxVal.end());
+	minVal[0] = *min_element(minVal.begin(), minVal.end());
+	Mat uc;
+	x.convertTo(uc, CV_8U,255/(maxVal[0]-minVal[0]),-255*minVal[0]/(maxVal[0]-minVal[0]));
+	imshow(s, uc);
+}
+
+
+/**
+ * @function paillouFilter
+ * @brief Trackbar callback
+ */
+static void PaillouFilter(int, void*)
+{
+    Mat dst;
+    double a=aa/100.0,w=ww/100.0;
+    Mat rx,ry;
+    GradientPaillouX(img,rx,a,w);
+    GradientPaillouY(img,ry,a,w);
+    DisplayImage(rx, "Gx");
+    DisplayImage(ry, "Gy");
+    add(rx.mul(rx),ry.mul(ry),dst);
+    sqrt(dst,dst);
+    DisplayImage(dst, window_name );
+}
+
+
+int main(int argc, char* argv[])
+{
+    if (argc==2)
+        imread(argv[1]).copyTo(img);
+    if (img.empty())
+    {
+        cout << "File not found or empty image\n";
+    }
+    imshow("Original",img);
+    namedWindow( window_name, WINDOW_AUTOSIZE );
+
+    /// Create a Trackbar for user to enter threshold
+    createTrackbar( "a:",window_name, &aa, 400, PaillouFilter );
+    createTrackbar( "w:", window_name, &ww, 400, PaillouFilter );
+    PaillouFilter(0,NULL);
+    waitKey();
+    return 0;
+}
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