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+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  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
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's 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.
+//
+//   * The name of the copyright holders may not 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 the Intel Corporation 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.
+//
+//M*/
+
+#ifndef __OPENCV_STRUCTURED_EDGE_DETECTION_HPP__
+#define __OPENCV_STRUCTURED_EDGE_DETECTION_HPP__
+#ifdef __cplusplus
+
+/** @file
+@date Jun 17, 2014
+@author Yury Gitman
+ */
+
+#include <opencv2/core.hpp>
+
+namespace cv
+{
+namespace ximgproc
+{
+
+//! @addtogroup ximgproc_edge
+//! @{
+
+/*!
+  Helper class for training part of [P. Dollar and C. L. Zitnick. Structured Forests for Fast Edge Detection, 2013].
+ */
+class CV_EXPORTS_W RFFeatureGetter : public Algorithm
+{
+public:
+
+    /*!
+     * This functions extracts feature channels from src.
+     * Than StructureEdgeDetection uses this feature space
+     * to detect edges.
+     *
+     * \param src : source image to extract features
+     * \param features : output n-channel floating point feature matrix.
+     *
+     * \param gnrmRad : __rf.options.gradientNormalizationRadius
+     * \param gsmthRad : __rf.options.gradientSmoothingRadius
+     * \param shrink : __rf.options.shrinkNumber
+     * \param outNum : __rf.options.numberOfOutputChannels
+     * \param gradNum : __rf.options.numberOfGradientOrientations
+     */
+    CV_WRAP virtual void getFeatures(const Mat &src, Mat &features,
+                                     const int gnrmRad,
+                                     const int gsmthRad,
+                                     const int shrink,
+                                     const int outNum,
+                                     const int gradNum) const = 0;
+};
+
+CV_EXPORTS_W Ptr<RFFeatureGetter> createRFFeatureGetter();
+
+
+
+/** @brief Class implementing edge detection algorithm from @cite Dollar2013 :
+ */
+class CV_EXPORTS_W StructuredEdgeDetection : public Algorithm
+{
+public:
+
+    /** @brief The function detects edges in src and draw them to dst.
+
+    The algorithm underlies this function is much more robust to texture presence, than common
+    approaches, e.g. Sobel
+    @param src source image (RGB, float, in [0;1]) to detect edges
+    @param dst destination image (grayscale, float, in [0;1]) where edges are drawn
+    @sa Sobel, Canny
+     */
+    CV_WRAP virtual void detectEdges(const Mat &src, CV_OUT Mat &dst) const = 0;
+};
+
+/*!
+* The only constructor
+*
+* \param model : name of the file where the model is stored
+* \param howToGetFeatures : optional object inheriting from RFFeatureGetter.
+*                           You need it only if you would like to train your
+*                           own forest, pass NULL otherwise
+*/
+CV_EXPORTS_W Ptr<StructuredEdgeDetection> createStructuredEdgeDetection(const String &model,
+    Ptr<const RFFeatureGetter> howToGetFeatures = Ptr<RFFeatureGetter>());
+
+//! @}
+
+}
+}
+#endif
+#endif /* __OPENCV_STRUCTURED_EDGE_DETECTION_HPP__ */