OpenCV 各种滤波器的简单使用

一. 实验描述

对OpenCV的滤波器进行简单的使用，其中包括：方框滤波、均值滤波、高斯滤波、中值滤波、双边滤波、膨胀、腐蚀、开运算、闭运算、形态学梯度、顶帽和黑帽。

二. 实验代码

class Task13 {public:    void deal() {        Mat src_img = imread("img\\1.jpg");        imshow("原图", src_img);        Mat out1;        boxFilter(src_img, out1, -1, Size(20, 20));        imshow("方框滤波", out1);        Mat out2;        blur(src_img, out2, Size(20, 20));        imshow("均值滤波", out2);        Mat out3;        GaussianBlur(src_img, out3, Size(21, 21), 0, 0);        imshow("高斯滤波", out3);        Mat out4;        medianBlur(src_img, out4, 21);        imshow("中值滤波", out4);        Mat out5;        bilateralFilter(src_img, out5, 20, 20 * 2, 20 / 2);        imshow("双边滤波", out5);        Mat out6;        Mat element = getStructuringElement(MORPH_RECT, Size(20, 20));        dilate(src_img, out6, element);        imshow("膨胀", out6);        Mat out7;        erode(src_img, out7, element);        imshow("腐蚀", out7);        Mat out8;        morphologyEx(src_img, out8, MORPH_OPEN, element);        imshow("开运算", out8);        Mat out9;        morphologyEx(src_img, out9, MORPH_CLOSE, element);        imshow("闭运算", out9);        Mat out10;        morphologyEx(src_img, out10, MORPH_GRADIENT, element);        imshow("形态学梯度", out10);        Mat out11;        morphologyEx(src_img, out11, MORPH_TOPHAT, element);        imshow("顶帽", out11);        Mat out12;        morphologyEx(src_img, out12, MORPH_BLACKHAT, element);        imshow("黑帽", out12);        waitKey(0);    }};

三. 实验结果

如有错误请指正