}
}
f:
int l_dis = abs(pos[0].y – pos[1].y);
int s_dis = abs(pos[2].x – pos[3].x);
int tmp_dis;
if(l_dis > s_dis)
{
printf("偏心率:%f\n",l_dis*1.0/s_dis);
}
else
{
tmp_dis = l_dis;
l_dis = s_dis;
s_dis = tmp_dis;
printf("偏心率:%f\n",l_dis*1.0/s_dis);
}
return 0;
}
void Getprobability(IplImage *src)
{
memset(per,0,sizeof(per));
int width = src->width;
int height = src->height;
for(int i = 0; i < height; i++) {
for(int j = 0; j < width; j++) {
per[(int)cvGet2D(src,i,j).val[0]]++;
}
}
int PixlNum = width * height;
for(i = 0; i < 256; i++)
per[i] = per[i] / PixlNum;
}
int GetThreshold(double *const prob)
{
int threshold = 0;
double maxf = 0;
for (int crrctThrshld = 1; crrctThrshld < 256 – 1; ++crrctThrshld) {
double W0 = 0, W1 = 0, U0 = 0, U1 = 0;
int i = 0;
for (i = 0; i <= crrctThrshld; ++i) {
U0 += i * prob[i];
W0 += prob[i];
}
for (; i < 256; ++i) {
U1 += i * prob[i];
W1 += prob[i];
}
if (W1 == 0 || W1 == 0)
continue;
U0 /= W0;
U1 /= W1;
double D0 = 0, D1= 0;
for (i = 0; i <= crrctThrshld; ++i)
D0 += pow((i – U0) * prob[i], 2.0);
for (; i < 256; ++i)
D1 += pow((i – U1) * prob[i], 2.0);
D0 /= W0;
D1 /= W1;
double Dw = pow(D0, 2.0) * W0 + pow(D1, 2.0) * W1;
double Db = W0 * W1 * pow((U1 – U0), 2.0);
double f = Db / (Db + Dw);
if (maxf < f) {
maxf = f;
threshold = crrctThrshld;
}
}
return threshold;
}
void proBorder(IplImage *src) // 边界的处理
{
int i,j;
int height = src->height;
int width = src->width;
int N = 100;
for(i = 0; i < N * width; i += width) // i表示向下走左上角
{
for(j = 0; j < N ; j++)
{
int index = i + j;
src->imageData[index] = (char)255;
}
}
int NN = 150;
int sw = width * (height – NN);// 左下角 三角形
int t = 1;
for(i = sw; i < sw + NN * width; i += width,t++)
{
for(j = 0; j < t; j++)
{
int index = i + j;
src->imageData[index] = (char)255;
}
}
int se = (height – NN – 1) * width; // 右下角
t = 0;
for(i = se; i < width * height ; i += width,t++)
{
for(j = 0; j < t; j++)
{
int index = i + j – t;
src->imageData[index] = (char)255;
}
}
int ne = width – NN; // 右上角 三角形剪切
t = 0;
for(i = ne; i < NN * width; i +=width,t++)
{
for(j = 0; j < NN – t; j++)
{
int index = i + j + t;
src->imageData[index] = (char)255;
}
}
}
void Threshold(IplImage *src)
{
int width = src->width;
int height = src->height;
float minpixel = cvGet2D(src,0,0).val[0];
float maxpixel = cvGet2D(src,0,0).val[0];
CvScalar s;
for(int i = 0; i < height; i++){
for(int j = 0; j < width; j++){
s = cvGet2D(src,i,j);
if(s.val[0] > maxpixel)
maxpixel = s.val[0];
if(s.val[0] < minpixel)
minpixel = s.val[0];
}
}
float firstgrey = (maxpixel + minpixel) / 2;
printf("%f\n",firstgrey);
float lastgrey;
float sum1 = 0,sum2 = 0;
int num1 = 0,num2 = 0;
int result = 0;
while(1)
{
result ++;
for(i = 0; i < height; i++){
for(int j = 0; j < width; j++){
s = cvGet2D(src,i,j);
if(s.val[0] < firstgrey)
{
sum1 += s.val[0];
num1++;
}
if(s.val[0] < firstgrey)
{
sum2 += s.val[0];
num2++;
}
}
}
lastgrey = (sum1/num1 + sum2/num2)/2;
if((int)lastgrey == (int)firstgrey)
break;
else
{
firstgrey = lastgrey;
sum1 = sum2 = 0;
num1 = num2 = 0;
}
}
lastgrey = (sum1/num1 + sum2/num2)/2;
printf("%f %d\n",firstgrey,result);
}
