opencv3/C++圖像濾波實(shí)現(xiàn)方式

2020-01-26 13:22:40

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圖像濾波在opencv中可以有多種實(shí)現(xiàn)形式

自定義濾波

如使用3×3的掩模：

對(duì)圖像進(jìn)行處理.

使用函數(shù)filter2D()實(shí)現(xiàn)

#include<opencv2/opencv.hpp>using namespace cv;int main(){ //函數(shù)調(diào)用filter2D功能 Mat src,dst; src = imread("E:/image/image/daibola.jpg"); if(!src.data) {  printf("can not load image /n");  return -1; } namedWindow("input", CV_WINDOW_AUTOSIZE); imshow("input", src); src.copyTo(dst); Mat kernel = (Mat_<int>(3,3)<<1,1,1,1,1,-1,-1,-1,-1); double t = (double)getTickCount(); filter2D(src, dst, src.depth(), kernel); std::cout<<((double)getTickCount()-t)/getTickFrequency()<<std::endl; namedWindow("output", CV_WINDOW_AUTOSIZE); imshow("output", dst); printf("%d",src.channels()); waitKey(); return 0;}

通過像素點(diǎn)操作實(shí)現(xiàn)

#include<opencv2/opencv.hpp>using namespace cv;int main(){ Mat src, dst; src = imread("E:/image/image/daibola.jpg"); CV_Assert(src.depth() == CV_8U); if(!src.data) {  printf("can not load image /n");  return -1; } namedWindow("input", CV_WINDOW_AUTOSIZE); imshow("input",src); src.copyTo(dst); for(int row = 1; row<(src.rows - 1); row++) {  const uchar* previous = src.ptr<uchar>(row - 1);  const uchar* current = src.ptr<uchar>(row);  const uchar* next = src.ptr<uchar>(row + 1);  uchar* output = dst.ptr<uchar>(row);  for(int col = src.channels(); col < (src.cols - 1)*src.channels(); col++)  {   *output = saturate_cast<uchar>(1 * current[col] + previous[col] - next[col] + current[col - src.channels()] - current[col + src.channels()]);   output++;  } } namedWindow("output", CV_WINDOW_AUTOSIZE); imshow("output",dst); waitKey(); return 0;}

特定形式濾波

常用的有：

blur(src,dst,Size(5,5));均值濾波

GaussianBlur(src,dst,Size(5,5),11,11);高斯濾波

medianBlur(src,dst,5);中值濾波（應(yīng)對(duì)椒鹽噪聲）

bilateralFilter(src,dst,2,0.5,2,4);雙邊濾波（保留邊緣）

#include<opencv2/opencv.hpp>using namespace cv;int main(){ Mat src, dst; src = imread("E:/image/image/daibola.jpg"); CV_Assert(src.depth() == CV_8U); if(!src.data) {  printf("can not load image /n");  return -1; } namedWindow("input", CV_WINDOW_AUTOSIZE); imshow("input",src); src.copyTo(dst); //均值濾波 blur(src,dst,Size(5,5)); //中值濾波 //medianBlur(src,dst,5); namedWindow("output", CV_WINDOW_AUTOSIZE); imshow("output",dst); waitKey(); return 0;}