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diff --git a/thirdparty1/linux/include/opencv2/ximgproc/slic.hpp b/thirdparty1/linux/include/opencv2/ximgproc/slic.hpp new file mode 100644 index 0000000..8b99a65 --- /dev/null +++ b/thirdparty1/linux/include/opencv2/ximgproc/slic.hpp @@ -0,0 +1,168 @@ +/********************************************************************* + * Software License Agreement (BSD License) + * + * Copyright (c) 2013 + * Radhakrishna Achanta + * email : Radhakrishna [dot] Achanta [at] epfl [dot] ch + * web : http://ivrl.epfl.ch/people/achanta + * + * 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 name of the copyright holders nor the names of its + * 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 THE + * COPYRIGHT OWNER 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. + *********************************************************************/ + +/* + "SLIC Superpixels Compared to State-of-the-art Superpixel Methods" + Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, + and Sabine Susstrunk, IEEE TPAMI, Volume 34, Issue 11, Pages 2274-2282, + November 2012. + + "SLIC Superpixels" Radhakrishna Achanta, Appu Shaji, Kevin Smith, + Aurelien Lucchi, Pascal Fua, and Sabine Süsstrunk, EPFL Technical + Report no. 149300, June 2010. + + OpenCV port by: Cristian Balint <cristian dot balint at gmail dot com> + */ + +#ifndef __OPENCV_SLIC_HPP__ +#define __OPENCV_SLIC_HPP__ +#ifdef __cplusplus + +#include <opencv2/core.hpp> + +namespace cv +{ +namespace ximgproc +{ + +//! @addtogroup ximgproc_superpixel +//! @{ + + enum SLIC { SLIC = 100, SLICO = 101, MSLIC = 102 }; + +/** @brief Class implementing the SLIC (Simple Linear Iterative Clustering) superpixels +algorithm described in @cite Achanta2012. + +SLIC (Simple Linear Iterative Clustering) clusters pixels using pixel channels and image plane space +to efficiently generate compact, nearly uniform superpixels. The simplicity of approach makes it +extremely easy to use a lone parameter specifies the number of superpixels and the efficiency of +the algorithm makes it very practical. +Several optimizations are available for SLIC class: +SLICO stands for "Zero parameter SLIC" and it is an optimization of baseline SLIC descibed in @cite Achanta2012. +MSLIC stands for "Manifold SLIC" and it is an optimization of baseline SLIC described in @cite Liu_2016_CVPR. + */ + +class CV_EXPORTS_W SuperpixelSLIC : public Algorithm +{ +public: + + /** @brief Calculates the actual amount of superpixels on a given segmentation computed + and stored in SuperpixelSLIC object. + */ + CV_WRAP virtual int getNumberOfSuperpixels() const = 0; + + /** @brief Calculates the superpixel segmentation on a given image with the initialized + parameters in the SuperpixelSLIC object. + + This function can be called again without the need of initializing the algorithm with + createSuperpixelSLIC(). This save the computational cost of allocating memory for all the + structures of the algorithm. + + @param num_iterations Number of iterations. Higher number improves the result. + + The function computes the superpixels segmentation of an image with the parameters initialized + with the function createSuperpixelSLIC(). The algorithms starts from a grid of superpixels and + then refines the boundaries by proposing updates of edges boundaries. + + */ + CV_WRAP virtual void iterate( int num_iterations = 10 ) = 0; + + /** @brief Returns the segmentation labeling of the image. + + Each label represents a superpixel, and each pixel is assigned to one superpixel label. + + @param labels_out Return: A CV_32SC1 integer array containing the labels of the superpixel + segmentation. The labels are in the range [0, getNumberOfSuperpixels()]. + + The function returns an image with the labels of the superpixel segmentation. The labels are in + the range [0, getNumberOfSuperpixels()]. + */ + CV_WRAP virtual void getLabels( OutputArray labels_out ) const = 0; + + /** @brief Returns the mask of the superpixel segmentation stored in SuperpixelSLIC object. + + @param image Return: CV_8U1 image mask where -1 indicates that the pixel is a superpixel border, + and 0 otherwise. + + @param thick_line If false, the border is only one pixel wide, otherwise all pixels at the border + are masked. + + The function return the boundaries of the superpixel segmentation. + */ + CV_WRAP virtual void getLabelContourMask( OutputArray image, bool thick_line = true ) const = 0; + + /** @brief Enforce label connectivity. + + @param min_element_size The minimum element size in percents that should be absorbed into a bigger + superpixel. Given resulted average superpixel size valid value should be in 0-100 range, 25 means + that less then a quarter sized superpixel should be absorbed, this is default. + + The function merge component that is too small, assigning the previously found adjacent label + to this component. Calling this function may change the final number of superpixels. + */ + CV_WRAP virtual void enforceLabelConnectivity( int min_element_size = 25 ) = 0; + + +}; + +/** @brief Initialize a SuperpixelSLIC object + +@param image Image to segment +@param algorithm Chooses the algorithm variant to use: +SLIC segments image using a desired region_size, and in addition SLICO will optimize using adaptive compactness factor, +while MSLIC will optimize using manifold methods resulting in more content-sensitive superpixels. +@param region_size Chooses an average superpixel size measured in pixels +@param ruler Chooses the enforcement of superpixel smoothness factor of superpixel + +The function initializes a SuperpixelSLIC object for the input image. It sets the parameters of choosed +superpixel algorithm, which are: region_size and ruler. It preallocate some buffers for future +computing iterations over the given image. For enanched results it is recommended for color images to +preprocess image with little gaussian blur using a small 3 x 3 kernel and additional conversion into +CieLAB color space. An example of SLIC versus SLICO and MSLIC is ilustrated in the following picture. + + + + */ + + CV_EXPORTS_W Ptr<SuperpixelSLIC> createSuperpixelSLIC( InputArray image, int algorithm = SLICO, + int region_size = 10, float ruler = 10.0f ); + +//! @} + +} +} +#endif +#endif |