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OpenCV之快速的图像边缘滤波算法

MachineLP

发布于 2021-07-23 08:17:38

发布于 2021-07-23 08:17:38

39800

代码可运行

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文章被收录于专栏：小鹏的专栏小鹏的专栏

运行总次数：0

代码可运行

python代码：

import cv2 as cv
import numpy as np

src = cv.imread("./test.png")
cv.namedWindow("input", cv.WINDOW_AUTOSIZE)
cv.imshow("input", src)

h, w = src.shape[:2]
dst = cv.edgePreservingFilter(src, sigma_s=100, sigma_r=0.4, flags=cv.RECURS_FILTER)
result = np.zeros([h, w*2, 3], dtype=src.dtype)
result[0:h,0:w,:] = src
result[0:h,w:2*w,:] = dst
result = cv.resize(result, (w, h//2) )
cv.imshow("result", result)
# cv.imwrite("result.png", result)


cv.waitKey(0)
cv.destroyAllWindows()

C++代码：

#include <opencv2/opencv.hpp>
#include <iostream>

using namespace cv;
using namespace std;

int main(int artc, char** argv) {
	Mat src = imread("./test.png");
	if (src.empty()) {
		printf("could

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本文部分代码块支持一键运行，欢迎体验

本文部分代码块支持一键运行，欢迎体验