图像二值化算法代码.docVIP

?* 函数名称：?*?? ThresholdDIB()?*?* 参数:?*?? LPSTR lpDIBBits??? - 指向源DIB图像指针?*?? LONG? lWidth?????? - 源图像宽度（象素数）?*?? LONG? lHeight????? - 源图像高度（象素数）?*?* 返回值:?*?? BOOL?????????????? - 运算成功返回TRUE，否则返回FALSE。?*?* 说明:?* 该函数用于对图像进行阈值分割运算。?* ?************************************************************************/ // ? 迭代法BOOL WINAPI ThresholdDIB(LPSTR lpDIBBits,LONG lWidth, LONG lHeight){??// 指向源图像的指针?LPSTR lpSrc;??// 指向缓存图像的指针?LPSTR lpDst;??// 指向缓存DIB图像的指针?LPSTR lpNewDIBBits;?HLOCAL hNewDIBBits;?//循环变量?long i;?long j;?//像素值?unsigned char pixel;?//直方图数组?long lHistogram[256];?//阈值，最大灰度值与最小灰度值，两个区域的平均灰度值?unsigned char iThreshold,iNewThreshold,iMaxGrayValue,iMinGrayValue,iMean1GrayValue,iMean2GrayValue;?//用于计算区域灰度平均值的中间变量?long lP1,lP2,lS1,lS2;?//迭代次数?int iIterationTimes;?// 图像每行的字节数?LONG lLineBytes;?// 暂时分配内存，以保存新图像?hNewDIBBits = LocalAlloc(LHND, lWidth * lHeight);?if (hNewDIBBits == NULL)?{? // 分配内存失败? return FALSE;?}??// 锁定内存?lpNewDIBBits = (char * )LocalLock(hNewDIBBits);?// 初始化新分配的内存，设定初始值为255?lpDst = (char *)lpNewDIBBits;?memset(lpDst, (BYTE)255, lWidth * lHeight);?// 计算图像每行的字节数?lLineBytes = WIDTHBYTES(lWidth * 8);?for (i = 0; i 256;i++)?{? lHistogram[i]=0;?}?//获得直方图?iMaxGrayValue = 0;?iMinGrayValue = 255;?for (i = 0;i lWidth ;i++)?{? for(j = 0;j lHeight ;j++)? {?? // 指向源图像倒数第j行，第i个象素的指针?? ?? lpSrc = (char *)lpDIBBits + lLineBytes * j + i;??? pixel = (unsigned char)*lpSrc;?? ?? lHistogram[pixel]++;?? //修改最大，最小灰度值?? if(iMinGrayValue pixel)?? {??? iMinGrayValue = pixel;?? }?? if(iMaxGrayValue pixel)?? {??? iMaxGrayValue = pixel;?? }? }?}?//迭代求最佳阈值?iNewThreshold = (iMinGrayValue + iMaxGrayValue)/2;?iThreshold = 0;??for(iIterationTimes = 0; iThreshold != iNewThreshold iIterationTimes 100;iIterationTimes ++)?{? iThreshold = iNewThreshold;? lP1 =0;? lP2 =0;? lS1 = 0;? lS2 = 0;? //求两个区域的灰度平均值? for (i = iMinGrayValue;i iThreshold;i++)? {?? lP1 += lHistogram[i]*i;?? lS1 += lHi