是否有内置函数将min,max和Avg滤镜应用于opencv2.4.13中的图像?我正在使用c ++.
正如评论中提到的@Miki,boxfilter是一个平均过滤器.只需设置所需的内核大小并保留normalize=true(默认值).
的功能erode和dilate是最小和最大滤波器,分别.你可以创建内核createMorphologyFilter,创建自己的内核,或者像我一样使用默认的3x3.边框默认设置为+inffor erode和-inffor,dilate因此它们不会对结果有所贡献.
int main(int argc, const char * argv[]) {
char image_data[25] = {1, 3, 8, 8, 4,
4, 2, 7, 9, 9,
1, 5, 0, 5, 9,
3, 7, 5, 2, 1,
0, 4, 7, 9, 4};
cv::Mat image = cv::Mat(5, 5, CV_8U, image_data);
std::cout << "image = " << std::endl << image << std::endl;
cv::Mat avgImage;
// Perform mean filtering on image using boxfilter
cv::boxFilter(image, avgImage, -1, cv::Size(3,3));
std::cout << "avgImage = " << std::endl << avgImage << std::endl;
cv::Mat kernel; // Use the default structuring element (kernel) for erode and dilate
cv::Mat minImage;
// Perform min filtering on image using erode
cv::erode(image, minImage, kernel);
std::cout << "minImage = " << std::endl << minImage << std::endl;
cv::Mat maxImage;
// Perform max filtering on image using dilate
cv::dilate(image, maxImage, kernel);
std::cout << "maxImage = " << std::endl << maxImage << std::endl;
return 0;
}
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结果如下:
image =
[ 1, 3, 8, 8, 4;
4, 2, 7, 9, 9;
1, 5, 0, 5, 9;
3, 7, 5, 2, 1;
0, 4, 7, 9, 4]
avgImage =
[ 3, 4, 6, 8, 8;
3, 3, 5, 7, 7;
4, 4, 5, 5, 6;
4, 4, 5, 5, 5;
5, 5, 5, 4, 4]
minImage =
[ 1, 1, 2, 4, 4;
1, 0, 0, 0, 4;
1, 0, 0, 0, 1;
0, 0, 0, 0, 1;
0, 0, 2, 1, 1]
maxImage =
[ 4, 8, 9, 9, 9;
5, 8, 9, 9, 9;
7, 7, 9, 9, 9;
7, 7, 9, 9, 9;
7, 7, 9, 9, 9]
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