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#ifndef __OPENCV_XIMGPROC_SEGMENTATION_HPP__
#define __OPENCV_XIMGPROC_SEGMENTATION_HPP__
#include <opencv2/core.hpp>
namespace cv {
namespace ximgproc {
namespace segmentation {
//! @addtogroup ximgproc_segmentation
//! @{
/** @brief Graph Based Segmentation Algorithm.
The class implements the algorithm described in @cite PFF2004 .
*/
class CV_EXPORTS_W GraphSegmentation : public Algorithm {
public:
/** @brief Segment an image and store output in dst
@param src The input image. Any number of channel (1 (Eg: Gray), 3 (Eg: RGB), 4 (Eg: RGB-D)) can be provided
@param dst The output segmentation. It's a CV_32SC1 Mat with the same number of cols and rows as input image, with an unique, sequential, id for each pixel.
*/
CV_WRAP virtual void processImage(InputArray src, OutputArray dst) = 0;
CV_WRAP virtual void setSigma(double sigma) = 0;
CV_WRAP virtual double getSigma() = 0;
CV_WRAP virtual void setK(float k) = 0;
CV_WRAP virtual float getK() = 0;
CV_WRAP virtual void setMinSize(int min_size) = 0;
CV_WRAP virtual int getMinSize() = 0;
};
/** @brief Creates a graph based segmentor
@param sigma The sigma parameter, used to smooth image
@param k The k parameter of the algorythm
@param min_size The minimum size of segments
*/
CV_EXPORTS_W Ptr<GraphSegmentation> createGraphSegmentation(double sigma=0.5, float k=300, int min_size=100);
/** @brief Strategie for the selective search segmentation algorithm
The class implements a generic stragery for the algorithm described in @cite uijlings2013selective.
*/
class CV_EXPORTS_W SelectiveSearchSegmentationStrategy : public Algorithm {
public:
/** @brief Set a initial image, with a segementation.
@param img The input image. Any number of channel can be provided
@param regions A segementation of the image. The parameter must be the same size of img.
@param sizes The sizes of different regions
@param image_id If not set to -1, try to cache pre-computations. If the same set og (img, regions, size) is used, the image_id need to be the same.
*/
CV_WRAP virtual void setImage(InputArray img, InputArray regions, InputArray sizes, int image_id = -1) = 0;
/** @brief Return the score between two regions (between 0 and 1)
@param r1 The first region
@param r2 The second region
*/
CV_WRAP virtual float get(int r1, int r2) = 0;
/** @brief Inform the strategy that two regions will be merged
@param r1 The first region
@param r2 The second region
*/
CV_WRAP virtual void merge(int r1, int r2) = 0;
};
/** @brief Color-based strategy for the selective search segmentation algorithm
The class is implemented from the algorithm described in @cite uijlings2013selective.
*/
class CV_EXPORTS_W SelectiveSearchSegmentationStrategyColor : public SelectiveSearchSegmentationStrategy {
};
/** @brief Create a new color-based strategy */
CV_EXPORTS_W Ptr<SelectiveSearchSegmentationStrategyColor> createSelectiveSearchSegmentationStrategyColor();
/** @brief Size-based strategy for the selective search segmentation algorithm
The class is implemented from the algorithm described in @cite uijlings2013selective.
*/
class CV_EXPORTS_W SelectiveSearchSegmentationStrategySize : public SelectiveSearchSegmentationStrategy {
};
/** @brief Create a new size-based strategy */
CV_EXPORTS_W Ptr<SelectiveSearchSegmentationStrategySize> createSelectiveSearchSegmentationStrategySize();
/** @brief Texture-based strategy for the selective search segmentation algorithm
The class is implemented from the algorithm described in @cite uijlings2013selective.
*/
class CV_EXPORTS_W SelectiveSearchSegmentationStrategyTexture : public SelectiveSearchSegmentationStrategy {
};
/** @brief Create a new size-based strategy */
CV_EXPORTS_W Ptr<SelectiveSearchSegmentationStrategyTexture> createSelectiveSearchSegmentationStrategyTexture();
/** @brief Fill-based strategy for the selective search segmentation algorithm
The class is implemented from the algorithm described in @cite uijlings2013selective.
*/
class CV_EXPORTS_W SelectiveSearchSegmentationStrategyFill : public SelectiveSearchSegmentationStrategy {
};
/** @brief Create a new fill-based strategy */
CV_EXPORTS_W Ptr<SelectiveSearchSegmentationStrategyFill> createSelectiveSearchSegmentationStrategyFill();
/** @brief Regroup multiple strategies for the selective search segmentation algorithm
*/
class CV_EXPORTS_W SelectiveSearchSegmentationStrategyMultiple : public SelectiveSearchSegmentationStrategy {
public:
/** @brief Add a new sub-strategy
@param g The strategy
@param weight The weight of the strategy
*/
CV_WRAP virtual void addStrategy(Ptr<SelectiveSearchSegmentationStrategy> g, float weight) = 0;
/** @brief Remove all sub-strategies
*/
CV_WRAP virtual void clearStrategies() = 0;
};
/** @brief Create a new multiple strategy */
CV_EXPORTS_W Ptr<SelectiveSearchSegmentationStrategyMultiple> createSelectiveSearchSegmentationStrategyMultiple();
/** @brief Create a new multiple strategy and set one subtrategy
@param s1 The first strategy
*/
CV_EXPORTS_W Ptr<SelectiveSearchSegmentationStrategyMultiple> createSelectiveSearchSegmentationStrategyMultiple(Ptr<SelectiveSearchSegmentationStrategy> s1);
/** @brief Create a new multiple strategy and set two subtrategies, with equal weights
@param s1 The first strategy
@param s2 The second strategy
*/
CV_EXPORTS_W Ptr<SelectiveSearchSegmentationStrategyMultiple> createSelectiveSearchSegmentationStrategyMultiple(Ptr<SelectiveSearchSegmentationStrategy> s1, Ptr<SelectiveSearchSegmentationStrategy> s2);
/** @brief Create a new multiple strategy and set three subtrategies, with equal weights
@param s1 The first strategy
@param s2 The second strategy
@param s3 The third strategy
*/
CV_EXPORTS_W Ptr<SelectiveSearchSegmentationStrategyMultiple> createSelectiveSearchSegmentationStrategyMultiple(Ptr<SelectiveSearchSegmentationStrategy> s1, Ptr<SelectiveSearchSegmentationStrategy> s2, Ptr<SelectiveSearchSegmentationStrategy> s3);
/** @brief Create a new multiple strategy and set four subtrategies, with equal weights
@param s1 The first strategy
@param s2 The second strategy
@param s3 The third strategy
@param s4 The forth strategy
*/
CV_EXPORTS_W Ptr<SelectiveSearchSegmentationStrategyMultiple> createSelectiveSearchSegmentationStrategyMultiple(Ptr<SelectiveSearchSegmentationStrategy> s1, Ptr<SelectiveSearchSegmentationStrategy> s2, Ptr<SelectiveSearchSegmentationStrategy> s3, Ptr<SelectiveSearchSegmentationStrategy> s4);
/** @brief Selective search segmentation algorithm
The class implements the algorithm described in @cite uijlings2013selective.
*/
class CV_EXPORTS_W SelectiveSearchSegmentation : public Algorithm {
public:
/** @brief Set a image used by switch* functions to initialize the class
@param img The image
*/
CV_WRAP virtual void setBaseImage(InputArray img) = 0;
/** @brief Initialize the class with the 'Single stragegy' parameters describled in @cite uijlings2013selective.
@param k The k parameter for the graph segmentation
@param sigma The sigma parameter for the graph segmentation
*/
CV_WRAP virtual void switchToSingleStrategy(int k = 200, float sigma = 0.8f) = 0;
/** @brief Initialize the class with the 'Selective search fast' parameters describled in @cite uijlings2013selective.
@param base_k The k parameter for the first graph segmentation
@param inc_k The increment of the k parameter for all graph segmentations
@param sigma The sigma parameter for the graph segmentation
*/
CV_WRAP virtual void switchToSelectiveSearchFast(int base_k = 150, int inc_k = 150, float sigma = 0.8f) = 0;
/** @brief Initialize the class with the 'Selective search fast' parameters describled in @cite uijlings2013selective.
@param base_k The k parameter for the first graph segmentation
@param inc_k The increment of the k parameter for all graph segmentations
@param sigma The sigma parameter for the graph segmentation
*/
CV_WRAP virtual void switchToSelectiveSearchQuality(int base_k = 150, int inc_k = 150, float sigma = 0.8f) = 0;
/** @brief Add a new image in the list of images to process.
@param img The image
*/
CV_WRAP virtual void addImage(InputArray img) = 0;
/** @brief Clear the list of images to process
*/
CV_WRAP virtual void clearImages() = 0;
/** @brief Add a new graph segmentation in the list of graph segementations to process.
@param g The graph segmentation
*/
CV_WRAP virtual void addGraphSegmentation(Ptr<GraphSegmentation> g) = 0;
/** @brief Clear the list of graph segmentations to process;
*/
CV_WRAP virtual void clearGraphSegmentations() = 0;
/** @brief Add a new strategy in the list of strategy to process.
@param s The strategy
*/
CV_WRAP virtual void addStrategy(Ptr<SelectiveSearchSegmentationStrategy> s) = 0;
/** @brief Clear the list of strategy to process;
*/
CV_WRAP virtual void clearStrategies() = 0;
/** @brief Based on all images, graph segmentations and stragies, computes all possible rects and return them
@param rects The list of rects. The first ones are more relevents than the lasts ones.
*/
CV_WRAP virtual void process(std::vector<Rect>& rects) = 0;
};
/** @brief Create a new SelectiveSearchSegmentation class.
*/
CV_EXPORTS_W Ptr<SelectiveSearchSegmentation> createSelectiveSearchSegmentation();
//! @}
}
}
}
#endif
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