圖像模板匹配

1、BOOL CDlgRecMatch:TemplateMatch(CDib* pDibSrc, CDib* pDibTemplate)/ 指向源圖像的指針LPBYTElpSrc,lpTemplateSrc;/ 指向緩存圖像的指針LPBYTElpDst;/循環(huán)變量long i;long j;long m;long n;/中間結(jié)果double dSigmaST;double dSigmaS;double dSigmaT;/相似性測度double R;/最大相似性測度double dbMaxR;/最大相似性出現(xiàn)位置int nMaxWidth;int nMaxHeight;/像素值unsigned ch

2、ar unchPixel;unsigned char unchTemplatePixel;/ 獲得圖象數(shù)據(jù)存儲的高度和寬度CSize sizeSaveImage;sizeSaveImage = pDibSrc->GetDibSaveDim();/ 獲得模板圖象數(shù)據(jù)存儲的高度和寬度CSize sizeSaveTemplate;sizeSaveTemplate = pDibTemplate->GetDibSaveDim();/ 暫時分配內(nèi)存，以保存新圖像CDib* pDibNew;pDibNew = new CDib;/ 如果分配內(nèi)存失敗，則推出if(!CopyDIB(pDibSrc,

3、pDibNew)/ 釋放已分配內(nèi)存pDibNew->Empty();/ 返回return FALSE;/ 初始化新分配的內(nèi)存lpDst = (LPBYTE)pDibNew->m_lpImage; / 圖象的高度int nImageHeight ;nImageHeight = pDibSrc->m_lpBMIH->biHeight;/ 圖象的寬度int nImageWidth;nImageWidth = pDibSrc->m_lpBMIH->biWidth;/ 模板圖象的高度int nTemplateHeight;nTemplateHeight = pDibT

4、emplate->m_lpBMIH->biHeight;/ 模板圖象的寬度int nTemplateWidth;nTemplateWidth = pDibTemplate->m_lpBMIH->biWidth;/計算dSigmaTdSigmaT = 0;for (n = 0;n < nTemplateHeight ;n+)for(m = 0;m < nTemplateWidth ;m+)/ 指向模板圖像倒數(shù)第j行，第i個象素的指針lpTemplateSrc = (LPBYTE)pDibTemplate->m_lpImage + sizeSaveTemp

5、late.cx * n + m;unchTemplatePixel = (unsigned char)*lpTemplateSrc;dSigmaT += (double)unchTemplatePixel*unchTemplatePixel;/找到圖像中最大相似性的出現(xiàn)位置 dbMaxR = 0.0;for (j = 0;j < nImageHeight - nTemplateHeight +1 ;j+)for(i = 0;i < nImageWidth - nTemplateWidth + 1;i+)dSigmaST = 0;dSigmaS = 0;for (n = 0;n &l

6、t; nTemplateHeight ;n+)for(m = 0;m < nTemplateWidth ;m+)/ 指向源圖像倒數(shù)第j+n行，第i+m個象素的指針lpSrc = (LPBYTE)pDibSrc->m_lpImage + sizeSaveImage.cx * (j+n) + (i+m);/ 指向模板圖像倒數(shù)第n行，第m個象素的指針lpTemplateSrc = (LPBYTE)pDibTemplate->m_lpImage + sizeSaveTemplate.cx * n + m;unchPixel = (unsigned char)*lpSrc;unchTemplatePixel = (unsigned char)*lpTemplateSrc;dSigmaS += (double)unchPixel*unchPixel;dSigmaST += (double)unchPixel*unchTemplatePixel;/計算相似性R = dSigmaST / ( sqrt(dSigmaS)*sqrt(dSigmaT);/與最大相似性比較if (R > dbMaxR) dbMaxR = R;nMaxWidth = i;nMaxHeight = j;/輸出最大相似性/ 對目標(biāo)圖象的象素進(jìn)行賦值for(i=0; i<nImageHeigh