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亚像素边缘

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//STEP 2：进行空间矩运算计算亚像素级边缘 int count = 0; //这里先定义一个数组来存放边缘点 double *Edge_x = new double[1000]; double *Edge_y = new double[1000]; //边缘点的数目 long Account = 0; //定义三个数组，分别用来保存每个模板中心点的H，K，L double *h = new double[nWidth*nHeight]; double *l = new double[nWidth*nHeight]; double *k = new double[nWidth*nHeight]; //定义六个用来存储6个矩的变量 double M00 = 0.0, M01 = 0.0, M10 = 0.0, M11 = 0.0, M20 = 0.0, M02 = 0.0; //定义三个用来存储旋转后的矩的值 double M_00 = 0.0, M_10 = 0.0, M_20 = 0.0; double cos_theta = 0.0; double sin_theta = 0.0; // CString RR1; // RR1.Format("ARRAY LENGTH IS:%d",ptArray.GetSize()); // MessageBox(RR1); //取出每个点之后进行与模版相与处理 //判断在使用SOBEL检测出来的边缘点，然后使用原来图片的另一个拷贝对象pTemBmp作为空间矩处理对象。 for(x = 2; x <= nWidth-2; x++) { for(y = 2; y <= nHeight-2; y++) { //判断如果当前为像素级边缘的时候才开始计算他的DELTA L if(pTempBmp->m_pBits[(nHeight - y - 1)*nSaveWidth+x] == 0) { //重置为0 //M00 = 0; //判断边缘点个数加1 Account =Account +1; CString str1,str2; str1.Format("x=%d,",x); str2.Format("y=%d ", y); str1=str1+str2; M00 = 0; M01 = 0; M10 = 0; M11 = 0; M20 = 0; M02 = 0; M_00 = 0; M_10 = 0; M_20 = 0; //计算 //第一行 M00 = pTemBmp->m_pBits[(x-2)+((nHeight - y - 1)-2)*nSaveWidth]*0.0219 + pTemBmp->m_pBits[(x-1)+((nHeight - y - 1)-2)*nSaveWidth]*0.1231 +pTemBmp->m_pBits[x+((nHeight - y - 1)-2)*nSaveWidth]*0.1573 +pTemBmp->m_pBits[(x+1)+((nHeight - y - 1)-2)*nSaveWidth]*0.1231 +pTemBmp->m_pBits[(x+2)+((nHeight - y - 1)-2)*nSaveWidth]*0.0219 //第二行 +pTemBmp->m_pBits[(x-2)+nSaveWidth*((nHeight - y - 1)-1)]*0.1231 +pTemBmp->m_pBits[(x-1)+nSaveWidth*((nHeight - y - 1)-1)]*0.1600 +pTemBmp->m_pBits[x+nSaveWidth*((nHeight - y - 1)-1)]*0.1600 +pTemBmp->m_pBits[(x+1)+nSaveWidth*((nHeight - y - 1)-1)]*0.1600 +pTemBmp->m_pBits[(x+2)+nSaveWidth*((nHeight - y - 1)-1)]*0.1231 //第三行 +pTemBmp->m_pBits[(x-2)+nSaveWidth*(nHeight - y - 1)]*0.1573 +pTemBmp->m_pBits[(x-1)+nSaveWidth*(nHeight - y - 1)]*0.1600 +pTemBmp->m_pBits[x+nSaveWidth*(nHeight - y - 1)]*0.1600 +pTemBmp->m_pBits[(x+1)+nSaveWidth*(nHeight - y - 1)]*0.1600 +pTemBmp->m_pBits[(x+2)+nSaveWidth*(nHeight - y - 1)]*0.1573 //第四行 +pTemBmp->m_pBits[(x-2)+nSaveWidth*((nHeight - y - 1)+1)]*0.1231 +pTemBmp->m_pBits[(x-1)+nSaveWidth*((nHeight - y - 1)+1)]*0.1600 +pTemBmp->m_pBits[x+nSaveWidth*((nHeight - y - 1)+1)]*0.1600 +pTemBmp->m_pBits[(x+1)+nSaveWidth*((nHeight - y - 1)+1)]*0.1600 +pTemBmp->m_pBits[x+2+nSaveWidth*((nHeight - y - 1)+1)]*0.1231 //第五行 +pTemBmp->m_pBits[(x-2)+nSaveWidth*((nHeight - y - 1)+2)]*0.0219 +pTemBmp->m_pBits[(x-1)+nSaveWidth*((nHeight - y - 1)+2)]*0.1231 +pTemBmp->m_pBits[x+nSaveWidth*((nHeight - y - 1)+2)]*0.1573 +pTemBmp->m_pBits[(x+1)+nSaveWidth*((nHeight - y - 1)+2)]*0.1231 +pTemBmp->m_pBits[(x+2)+nSaveWidth*((nHeight - y - 1)+2)]*0.0219; //第一行 M11 = pTemBmp->m_pBits[(x-2)+((nHeight - y - 1)-2)*nSaveWidth]*(-0.0098) + pTemBmp->m_pBits[(x-1)+((nHeight - y - 1)-2)*nSaveWidth]*(-0.0352) +pTemBmp->m_pBits[x+((nHeight - y - 1)-2)*nSaveWidth]*0.000 +pTemBmp->m_pBits[(x+1)+((nHeight - y - 1)-2)*nSaveWidth]*0.0352 +pTemBmp->m_pBits[(x+2)+((nHeight - y - 1)-2)*nSaveWidth]*0.0098 //第二行 +pTemBmp->m_pBits[(x-2)+nSaveWidth*((nHeight - y - 1)-1)]*(-0.0352) +pTemBmp->m_pBits[(x-1)+nSaveWidth*((nHeight - y - 1)-1)]*(-0.0256) +pTemBmp->m_pBits[x+nSaveWidth*((nHeight - y - 1)-1)]*0.000 +pTemBmp->m_pBits[(x+1)+nSaveWidth*((nHeight - y - 1)-1)]*0.0256 +pTemBmp->m_pBits[(x+2)+nSaveWidth*((nHeight - y - 1)-1)]*0.0352 //第三行 +pTemBmp->m_pBits[(x-2)+nSaveWidth*(nHeight - y - 1)]*0.000 +pTemBmp->m_pBits[(x-1)+nSaveWidth*(nHeight - y - 1)]*0.000 +pTemBmp->m_pBits[x+nSaveWidth*(nHeight - y - 1)]*0.000 +pTemBmp->m_pBits[(x+1)+nSaveWidth*(nHeight - y - 1)]*0.000 +pTemBmp->m_pBits[(x+2)+nSaveWidth*(nHeight - y - 1)]*0.000 //第四行 +pTemBmp->m_pBits[(x-2)+nSaveWidth*((nHeight - y - 1)+1)]*0.0352 +pTemBmp->m_pBits[(x-1)+nSaveWidth*((nHeight - y - 1)+1)]*0.0256 +pTemBmp->m_pBits[x+nSaveWidth*((nHeight - y - 1)+1)]*0.000 +pTemBmp->m_pBits[(x+1)+nSaveWidth*((nHeight - y - 1)+1)]*(-0.0256) +pTemBmp->m_pBits[x+2+nSaveWidth*((nHeight - y - 1)+1)]*(-0.0352) //第五行 +pTemBmp->m_pBits[(x-2)+nSaveWidth*((nHeight - y - 1)+2)]*0.0098 +pTemBmp->m_pBits[(x-1)+nSaveWidth*((nHeight - y - 1)+2)]*0.0352 +pTemBmp->m_pBits[x+nSaveWidth*((nHeight - y - 1)+2)]*0.000 +pTemBmp->m_pBits[(x+1)+nSaveWidth*((nHeight - y - 1)+2)]*(-0.0352) +pTemBmp->m_pBits[(x+2)+nSaveWidth*((nHeight - y - 1)+2)]*(-0.0098); //第一行 M10 = pTemBmp->m_pBits[(x-2)+((nHeight - y - 1)-2)*nSaveWidth]*(-0.0147) + pTemBmp->m_pBits[(x-1)+((nHeight - y - 1)-2)*nSaveWidth]*(-0.0469) +pTemBmp->m_pBits[x+((nHeight - y - 1)-2)*nSaveWidth]*0.000 +pTemBmp->m_pBits[(x+1)+((nHeight - y - 1)-2)*nSaveWidth]*0.0469 +pTemBmp->m_pBits[(x+2)+((nHeight - y - 1)-2)*nSaveWidth]*0.0147 //第二行 +pTemBmp->m_pBits[(x-2)+nSaveWidth*((nHeight - y - 1)-1)]*(-0.0933) +pTemBmp->m_pBits[(x-1)+nSaveWidth*((nHeight - y - 1)-1)]*(-0.0640) +pTemBmp->m_pBits[x+nSaveWidth*((nHeight - y - 1)-1)]*0.000 +pTemBmp->m_pBits[(x+1)+nHeight*((nHeight - y - 1)-1)]*0.0640 +pTemBmp->m_pBits[(x+2)+nSaveWidth*((nHeight - y - 1)-1)]*0.0933 //第三行 +pTemBmp->m_pBits[(x-2)+nSaveWidth*(nHeight - y - 1)]*(-0.1253) +pTemBmp->m_pBits[(x-1)+nSaveWidth*(nHeight - y - 1)]*(-0.0640) +pTemBmp->m_pBits[x+nSaveWidth*(nHeight - y - 1)]*0.000 +pTemBmp->m_pBits[(x+1)+nSaveWidth*(nHeight - y - 1)]*0.0640 +pTemBmp->m_pBits[(x+2)+nSaveWidth*(nHeight - y - 1)]*0.1253 //第四行 +pTemBmp->m_pBits[(x-2)+nSaveWidth*((nHeight - y - 1)+1)]*(-0.0933) +pTemBmp->m_pBits[(x-1)+nSaveWidth*((nHeight - y - 1)+1)]*(-0.0640) +pTemBmp->m_pBits[x+nSaveWidth*((nHeight - y - 1)+1)]*0.000 +pTemBmp->m_pBits[(x+1)+nSaveWidth*((nHeight - y - 1)+1)]*0.0640 +pTemBmp->m_pBits[x+2+nSaveWidth*((nHeight - y - 1)+1)]*0.0933 //第五行 +pTemBmp->m_pBits[(x-2)+nSaveWidth*((nHeight - y - 1)+2)]*(-0.0147) +pTemBmp->m_pBits[(x-1)+nSaveWidth*((nHeight - y - 1)+2)]*(-0.0469) +pTemBmp->m_pBits[x+nSaveWidth*((nHeight - y - 1)+2)]*0.000 +pTemBmp->m_pBits[(x+1)+nSaveWidth*((nHeight - y - 1)+2)]*0.0469 +pTemBmp->m_pBits[(x+2)+nSaveWidth*((nHeight - y - 1)+2)]*0.0147; M01 = pTemBmp->m_pBits[(x-2)+((nHeight - y - 1)-2)*nSaveWidth]*(0.0147) + pTemBmp->m_pBits[(x-1)+((nHeight - y - 1)-2)*nSaveWidth]*0.0933 +pTemBmp->m_pBits[x+((nHeight - y - 1)-2)*nSaveWidth]*0.1253 +pTemBmp->m_pBits[(x+1)+((nHeight - y - 1)-2)*nSaveWidth]*0.0933 +pTemBmp->m_pBits[(x+2)+((nHeight - y - 1)-2)*nSaveWidth]*0.0147 //第二行 +pTemBmp->m_pBits[(x-2)+nSaveWidth*((nHeight - y - 1)-1)]*0.0469 +pTemBmp->m_pBits[(x-1)+nSaveWidth*((nHeight - y - 1)-1)]*(0.0640) +pTemBmp->m_pBits[x+nSaveWidth*((nHeight - y - 1)-1)]*0.0640 +pTemBmp->m_pBits[(x+1)+nSaveWidth*((nHeight - y - 1)-1)]*0.0640 +pTemBmp->m_pBits[(x+2)+nSaveWidth*((nHeight - y - 1)-1)]*0.0469 //第三行 +pTemBmp->m_pBits[(x-2)+nSaveWidth*(nHeight - y - 1)]*0.000 +pTemBmp->m_pBits[(x-1)+nSaveWidth*(nHeight - y - 1)]*0.000 +pTemBmp->m_pBits[x+nSaveWidth*(nHeight - y - 1)]*0.000 +pTemBmp->m_pBits[(x+1)+nSaveWidth*(nHeight - y - 1)]*0.000 +pTemBmp->m_pBits[(x+2)+nSaveWidth*(nHeight - y - 1)]*0.000 //第四行 +pTemBmp->m_pBits[(x-2)+nSaveWidth*((nHeight - y