1 /** 2 * @file nldiffusion_functions.h 3 * @brief Functions for non-linear diffusion applications: 4 * 2D Gaussian Derivatives 5 * Perona and Malik conductivity equations 6 * Perona and Malik evolution 7 * @date Dec 27, 2011 8 * @author Pablo F. Alcantarilla 9 */ 10 11 #ifndef __OPENCV_FEATURES_2D_NLDIFFUSION_FUNCTIONS_H__ 12 #define __OPENCV_FEATURES_2D_NLDIFFUSION_FUNCTIONS_H__ 13 14 /* ************************************************************************* */ 15 // Declaration of functions 16 17 namespace cv 18 { 19 20 // Gaussian 2D convolution 21 void gaussian_2D_convolution(const cv::Mat& src, cv::Mat& dst, int ksize_x, int ksize_y, float sigma); 22 23 // Diffusivity functions 24 void pm_g1(const cv::Mat& Lx, const cv::Mat& Ly, cv::Mat& dst, float k); 25 void pm_g2(const cv::Mat& Lx, const cv::Mat& Ly, cv::Mat& dst, float k); 26 void weickert_diffusivity(const cv::Mat& Lx, const cv::Mat& Ly, cv::Mat& dst, float k); 27 void charbonnier_diffusivity(const cv::Mat& Lx, const cv::Mat& Ly, cv::Mat& dst, float k); 28 29 float compute_k_percentile(const cv::Mat& img, float perc, float gscale, int nbins, int ksize_x, int ksize_y); 30 31 // Image derivatives 32 void compute_scharr_derivatives(const cv::Mat& src, cv::Mat& dst, int xorder, int yorder, int scale); 33 void compute_derivative_kernels(cv::OutputArray _kx, cv::OutputArray _ky, int dx, int dy, int scale); 34 void image_derivatives_scharr(const cv::Mat& src, cv::Mat& dst, int xorder, int yorder); 35 36 // Nonlinear diffusion filtering scalar step 37 void nld_step_scalar(cv::Mat& Ld, const cv::Mat& c, cv::Mat& Lstep, float stepsize); 38 39 // For non-maxima suppresion 40 bool check_maximum_neighbourhood(const cv::Mat& img, int dsize, float value, int row, int col, bool same_img); 41 42 // Image downsampling 43 void halfsample_image(const cv::Mat& src, cv::Mat& dst); 44 45 } 46 47 #endif 48
