int otsu (IplImage *image, int rows, int cols, int x0, int y0, int dx, int dy, int vvv)
{
unsigned char *np; // 影像指標
int thresholdValue=https://bbs.csdn.net/topics/1; // 閾值
int ihist[256]; // 影像直方圖，256個點
int i, j, k; // various counters
int n, n1, n2, gmin, gmax;
double m1, m2, sum, csum, fmax, sb;
// 對直方圖置零
memset(ihist, 0, sizeof(ihist));
gmin=255; gmax=0;
// 生成直方圖
/*
for (i = y0 + 1; i < y0 + dy - 1; i++)
{
np = &image[i*cols+x0+1];
for (j = x0 + 1; j < x0 + dx - 1; j++)
{
ihist[*np]++;
if(*np > gmax) gmax=*np;
if(*np < gmin) gmin=*np;
np++; /* next pixel
}
}*/
for(j=y0;j<dy;j++)
{
for(i=0;i<dx;i++)
{
unsigned char temp=CV_IMAGE_ELEM(image,uchar,j,i);
ihist[temp]++;
}
}
// set up everything
sum = csum = 0.0;
n = 0;
for (k = 0; k <= 255; k++)
{
sum += (double) k * (double) ihist[k]; // x*f(x) 質量矩
n += ihist[k]; //f(x) 質量
}
if (!n)
{
// if n has no value, there is problems
fprintf (stderr, "NOT NORMAL thresholdValue = 160\n");
return (160);
}
// do the otsu global thresholding method
fmax = -1.0;
n1 = 0;
for (k = 0; k < 255; k++)
{
n1 += ihist[k];
if (!n1) { continue; }
n2 = n - n1;
if (n2 == 0) { break; }
csum += (double) k *ihist[k];
m1 = csum / n1;
m2 = (sum - csum) / n2;
sb = (double) n1 *(double) n2 *(m1 - m2) * (m1 - m2);
/**//* bbg: note: can be optimized. */
if (sb > fmax) {
fmax = sb;
thresholdValue = k;
}
}
// at this point we have our thresholding value，debug code to display thresholding values
if ( vvv & 1 )
fprintf(stderr,"# OTSU: thresholdValue = %d gmin=%d gmax=%d\n",thresholdValue, gmin, gmax);
return(thresholdValue);
}
uj5u.com熱心網友回復：
參考 樓主 killbill2012 的回復: int otsu (IplImage *image, int rows, int cols, int x0, int y0, int dx, int dy, int vvv)
學一下pascal，自己翻譯一下
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