【发布时间】:2012-08-22 12:00:25
【问题描述】:
我想模拟散焦模糊,图像中每个像素的强度是:
1/(pi*r^2) 对于给定的半径 r,如果像素在 sqrt(x^2+y^2) 内,否则为 0 (查看代码以获得更好的解释)
这给出了一个圆形的模糊/卷积核。 我试图在 opencv 中这样做但没有运气:opencv 只是“像素化”了我的图像边缘: testimage http://www.bilderkiste.org/show/original/1131895735815/test_out.jpg
我真的不知道为什么会这样,这是我目前的代码:
//includes. then:
using namespace std;
#define KERNELLENGTH 3
#define PI 3.14159265
int main() {
IplImage *src = 0;
IplImage *dst = 0;
src = cvLoadImage("test.bmp"); //create image matrixes..
dst = cvLoadImage("test.bmp"); //
CvMat *filter;
double kernel[KERNELLENGTH * KERNELLENGTH]; //create an appropriate kernel
int r = KERNELLENGTH / 2; //calculate the radius
double value = 1 / (PI * KERNELLENGTH * KERNELLENGTH / (4 * r)); //calculate the defocus blur value
cout << "Kernel:" << "\n";
for (int x = 0; x < KERNELLENGTH; x++) //calculate kernel (seems to work right!)
{
for (int y = 0; y < KERNELLENGTH; y++) {
if (sqrt((x - KERNELLENGTH / 2) * (x - KERNELLENGTH / 2) + (y
- KERNELLENGTH / 2) * (y - KERNELLENGTH / 2)) <= r) {
kernel[y * 4 + x] = value; //Wert zuweisen
cout << value << "\t";
} else
cout << 0 << "\t";
}
cout << "\n";
}
filter = cvCreateMatHeader(KERNELLENGTH, KERNELLENGTH, CV_32FC1);//create the filter
cvSetData(filter, kernel, KERNELLENGTH * sizeof(kernel[0]));//link kernel and filter
cvFilter2D(src, //convolve filter and src, save to dst
dst, filter, cvPoint(-1, -1));
cvSaveImage("test_out.bmp", dst); //save dst on disk
cvReleaseImage(&src);
cvReleaseImage(&dst);
return 0;
}
非常感谢您的帮助,谢谢!
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