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