seeds: add SEEDS superpixels implementation to ximgproc module

modules/ximgproc/include/opencv2/ximgproc.hpp

@@ -39,5 +39,6 @@
 
 #include "ximgproc/edge_filter.hpp"
 #include "ximgproc/structured_edge_detection.hpp"
+#include "ximgproc/seeds.hpp"
 
-#endif
\ No newline at end of file
+#endif

modules/ximgproc/include/opencv2/ximgproc/seeds.hpp

+/*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) 2014, Beat Kueng (beat-kueng@gmx.net), Lukas Vogel, Morten Lysgaard
+// 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_SEEDS_HPP__
+#define __OPENCV_SEEDS_HPP__
+#ifdef __cplusplus
+
+#include <opencv2/core.hpp>
+
+namespace cv
+{
+namespace ximgproc
+{
+
+
+//! Superpixel implementation: "SEEDS: Superpixels Extracted via Energy-Driven Sampling", IJCV 2014
+class CV_EXPORTS_W SuperpixelSEEDS : public Algorithm
+{
+public:
+
+    /*! get the actual number of superpixels */
+    CV_WRAP virtual int getNumberOfSuperpixels() = 0;
+
+    /*!
+     * calculate the segmentation on a given image. To get the result use getLabels()
+     * @param img            input image. supported formats: CV_8U, CV_16U, CV_32F
+     *                       image size & number of channels must match with the
+     *                       initialized image size & channels.
+     * @param num_iterations number of pixel level iterations. higher number
+     *                       improves the result
+     */
+    CV_WRAP virtual void iterate(InputArray img, int num_iterations=4) = 0;
+
+    /*!
+     * retrieve the segmentation results.
+     * @param labels_out     Return: A CV_32UC1 integer array containing the labels
+     *                       labels are in the range [0, getNumberOfSuperpixels()]
+     */
+    CV_WRAP virtual void getLabels(OutputArray labels_out) = 0;
+
+    /*!
+     * get an image mask with the contour of the superpixels. useful for test output.
+     * @param image          Return: CV_8UC1 image mask where -1 is a superpixel border
+     *                       pixel and 0 an interior pixel.
+     * @param thick_line     if false, border is only one pixel wide, otherwise
+     *                       all border pixels are masked
+     */
+    CV_WRAP virtual void getLabelContourMask(OutputArray image, bool thick_line = false) = 0;
+
+    virtual ~SuperpixelSEEDS() {}
+};
+
+/*! Creates a SuperpixelSEEDS object.
+ * @param image_width       image width
+ * @param image_height      image height
+ * @param image_channels    number of channels the image has
+ * @param num_superpixels   desired number of superpixels. Note that the actual
+ *                          number can be smaller due to further restrictions.
+ *                          use getNumberOfSuperpixels to get the actual number.
+ * @param num_levels        number of block levels: the more levels, the more
+ *                          accurate is the segmentation, but needs more memory
+ *                          and CPU time.
+ * @param histogram_bins    number of histogram bins.
+ * @param prior             enable 3x3 shape smoothing term if >0. a larger value
+ *                          leads to smoother shapes.
+ *                          range: [0, 5]
+ * @param double_step       if true, iterate each block level twice for higher
+ *                          accuracy.
+ */
+CV_EXPORTS_W Ptr<SuperpixelSEEDS> createSuperpixelSEEDS(
+    int image_width, int image_height, int image_channels,
+    int num_superpixels, int num_levels, int prior = 2,
+    int histogram_bins=5, bool double_step = false);
+
+
+}
+}
+#endif
+#endif