Canny edge detector

1) Smooth image with a Gaussian
 - optimizes the trade-off between noise filtering and edge 2) Compute the Gradient magnitude using approximations of partial derivatives
 - 2x2 filters
 3) Thin edge by applying non-maxima suppression to the gradient magnitude
4) Detect edges by double thresholding

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1.  //   
2. <div><br>  
3.  int imageWidth = 512; // 영상의 가로 크기 <br>  
4.  int imageHeight = 512; // 영상의 세로 크기 <br>  
5.  int depth = 1;  // 1 = 흑백 영상, 3 = 컬러 영상 </div>  
6. <div> unsigned char *dx; // 입력 영상의 기억 장소에 대한 포인터 변수 <br>  
7.  unsigned char *dy; // 출력 영상의 기억 장소에 대한 포인터 변수 <br>  
8.  unsigned char *m; // flag 변수 </div>  
9. <div> dx= (unsigned char *) malloc(imageWidth * imageHeight * depth); <br>  
10.  dy= (unsigned char *) malloc(imageWidth * imageHeight * depth);<br>  
11.  m = (unsigned char *) malloc(imageWidth * imageHeight * depth);</div>  
12. <div> char *inpath = "lena512gray_Gnoise.pgm"; //output file path<br>  
13.  <br>  
14.  int x, y, i, sta, end = 12;<br>  
15.  int value;</div>  
16. <div> int sigma = 1;<br>  
17.  int fs = 6;   //Filter size = fs*2 +1<br>  
18.  double filter1[7] = {0.004432,  0.053991,  0.241971,  0.398942,  0.241971,  0.053991,  0.004432}; //16<br>  
19.  double filter2[13] = {0.002216,  0.008764,  0.026995,  0.064759,  0.120985,  0.176033,  0.199471, <br>  
20.       0.176033,  0.120985,  0.064759,  0.026995,  0.008764,  0.002216};</div>  
21. <div> for(ubt</div>  
22. <div> <br>  
23. </div>  

 // 


 int imageWidth = 512; // 영상의 가로 크기 

 int imageHeight = 512; // 영상의 세로 크기 

 int depth = 1;  // 1 = 흑백 영상, 3 = 컬러 영상 
 unsigned char *dx; // 입력 영상의 기억 장소에 대한 포인터 변수 

 unsigned char *dy; // 출력 영상의 기억 장소에 대한 포인터 변수 

 unsigned char *m; // flag 변수 
 dx= (unsigned char *) malloc(imageWidth * imageHeight * depth); 

 dy= (unsigned char *) malloc(imageWidth * imageHeight * depth);

 m = (unsigned char *) malloc(imageWidth * imageHeight * depth);
 char *inpath = "lena512gray_Gnoise.pgm"; //output file path

 

 int x, y, i, sta, end = 12;

 int value;
 int sigma = 1;

 int fs = 6;   //Filter size = fs*2 +1

 double filter1[7] = {0.004432,  0.053991,  0.241971,  0.398942,  0.241971,  0.053991,  0.004432}; //16

 double filter2[13] = {0.002216,  0.008764,  0.026995,  0.064759,  0.120985,  0.176033,  0.199471, 

      0.176033,  0.120985,  0.064759,  0.026995,  0.008764,  0.002216};
 for(ubt