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stim/cuda/bsds500/laplacian_conv2.cpp 1.58 KB
91d8912e   David Mayerich   moved bsds500 fil...
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  #include <stim/image/image.h>
  #include <cmath>
  #include <stim/visualization/colormap.h>
  #include <stim/image/image_contour_detection.h>
  
  #define PI 3.1415926
  
  void array_multiply(float* lhs, float rhs, unsigned int N);
  void array_add(float* ptr1, float* ptr2, float* sum, unsigned int N);
  void array_abs(float* img, unsigned int N);
  
  /// This function evaluates the center-surround(Laplacian of Gaussian) gaussian derivative gradient of an one-channel image
  
  /// @param img is the one-channel image
  /// @param r is an array of radii for different scaled discs(filters)
  /// @param sigma_n is the number of standard deviations used to define the sigma
  
  stim::image<float> Gd_center(stim::image<float> image, int r, unsigned int sigma_n){
  
  	unsigned int w = image.width();    // get the width of picture
  	unsigned int h = image.height();   // get the height of picture
  	unsigned N = w * h;				   // get the number of pixels of picture
  	int winsize = 2 * r + 1;           // set the winsdow size of disc(filter)
  
  	stim::image<float> I(w, h, 1, 2);       // allocate space for return image of Gd2
  	stim::image<float> Ixx(w, h);       // allocate space for Ixx
  	stim::image<float> Iyy(w, h);       // allocate space for Iyy
  	stim::image<float> Gd_center(w, h);       // allocate space for Pb
  
  	I = Gd2(image, r, sigma_n);  // calculate the Ixx, Iyy
  	Ixx = I.channel(0);
  	Iyy = I.channel(1);
  
  	array_add(Ixx.data(), Iyy.data(), Gd_center.data(), N);				//Gd_center = Ixx + Iyy;
  	array_abs(Gd_center.data(), N);
  
  	//stim::cpu2image(Gd_center.data(), "data_output/Gd_center_0919.bmp", w, h, stim::cmBrewer); 
  
  	return Gd_center;
  
  }