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src/MSRegionSurveilance/gaussFilte.cpp 1.5 KB
8805b950   Liu Meng   物品遗留效果优化
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  #include "gaussFilte.h"
  
  void gaussianFilter(unsigned char* data, int width, int height, int type)   
  { 
  	if (type == 3)
  	{
  		int i, j, index, sum;   
  		int templates[9] = {1, 2, 1, 
  			                2, 4, 2, 
  							1, 2, 1}; //模板的值   
  
  		unsigned char* tmpdata = new unsigned char[height * width];
  
  		for (i = 0; i < height * width; i++)
  		{
  			tmpdata[i] = data[i];
  		}
  
  		for(i = 1; i < height - 1; i++)   
  		{   
  			for(j = 1; j < width - 1; j++)   
  			{             
  				index = sum = 0;   
  				for(int m = i - 1;m < i + 2; m++)   
  				{   
  					for(int n = j - 1; n < j + 2; n++)   
  					{   
  						sum += tmpdata[m * width + n] * templates[index++];  //处理   
  					}   
  				}   
  				data[i * width + j] = sum >> 4;           
  			}   
  		}   
  		delete[] tmpdata;   
  	}
  	else
  	{
  		int i, j, index, sum;   
  		int templates[25] = {1, 4,  7,  4,  1, 
  			                 4, 16, 26, 16, 4,
  							 7, 26, 41, 26, 7,
  							 4, 16, 26, 16, 4,
  							 1, 4,  7,  4,  1}; //模板的值   
  
  		unsigned char* tmpdata = new unsigned char[height * width];
  		for (i = 0; i < height * width; i++)
  		{
  			tmpdata[i] = data[i];
  		}
  
  		for(i = 1; i < height - 1; i++)   
  		{   
  			for(j = 1; j < width - 1; j++)   
  			{             
  				index = sum = 0;   
  				for(int m = i - 2;m < i + 3; m++)   
  				{   
  					for(int n = j - 2; n < j + 3; n++)   
  					{   
  						sum += tmpdata[m * width + n] * templates[index++];  //处理   
  					}   
  				}   
  				data[i * width + j] = sum / 273;           
  			}   
  		}   
  		delete[] tmpdata;   
  	}
  }