图像处理（二）：图像滤波

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均值滤波：利用点（x，y）领域内像素点均值来替换（x，y）处像素值；

中值滤波：利用点（x，y）领域内像素点中值来替换（x，y）处像素值；

具体实现代码如下：

#include <opencv2/opencv.hpp>using namespace cv;const int directions[8][2] = { { -1, -1 }, { -1, 0 }, { -1, 1 }, { 0, 1 },{ 1, 1 }, { 1, 0 }, { 1, -1 }, {0, -1} };void BubbleSort(int* ori, int length){int temp = 0;for (int i = 0; i < length - 1; i++)for (int j = i + 1; j < length; j++){if (ori[i] > ori[j]){temp = ori[i];ori[i] = ori[j];ori[j] = temp;}}}int main(){Mat src = imread("1.jpg");Mat gray;cvtColor(src, gray, CV_BGR2GRAY);Mat Ave_filter = Mat::zeros(gray.rows, gray.cols, CV_8UC1);int i, j, k;float temp = 0;// 均值滤波for (i = 1; i < gray.rows - 1; i++)for (j = 1; j < gray.cols - 1; j++){for (k = 0; k < 8; k++){temp += gray.at<uchar>(i + directions[k][0], j + directions[k][1]);}temp /= 8;Ave_filter.at<uchar>(i, j) = temp;}Mat Med_filter = Mat::zeros(gray.rows, gray.cols, CV_8UC1);// 中值滤波int neighbors[8] = { 0 };for (i = 1; i < gray.rows - 1; i++)for (j = 1; j < gray.cols - 1; j++){for (k = 0; k < 8; k++){neighbors[k] = gray.at<uchar>(i + directions[k][0], j + directions[k][1]);}BubbleSort(neighbors, 8);Med_filter.at<uchar>(i, j) = (neighbors[3] + neighbors[4])/2;}//imshow("src", gray);imshow("ave", Ave_filter);imshow("med", Med_filter);waitKey();return 0;}

效果如下：

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