varying highp vec2 blurCoordinates[GAUSSIAN_SAMPLES]; // 从 vertex shader 传递来的被参考点的纹理坐标数组。 void main() { lowp vec4 sum = vec4(0.0); // 根据距离当前点距离远近分配权重。分配原则越近权重越大。 sum += texture2D(inputImageTexture, blurCoordinates[0]) * 0.05; sum += text...
// Blurs an image using a Gaussian filter. // // 参数: // src: // input image; the image can have any number of channels, which are processed independently, // but the depth should be CV_8U, CV_16U, CV_16S, CV_32F or CV_64F. // // dst: // output image of the same ...
cv::WINDOW_AUTOSIZE);cv::namedWindow("Gaussian Blur Image",cv::WINDOW_AUTOSIZE);// 读取图像,并用输入的窗口显示输入图像cv::Matimg=cv::imread("/home/duyq/workspace/cpp/demo/MyCPPDemo/opencv/demo01_base/lena.jpg
1、高斯模糊https://www.tutorialkart.com/opencv/python/opencv-python-gaussian-image-smoothing/ 2、双边滤波http://opencvexamples.blogspot.com/2013/10/applying-bilateral-filter.html 3、官方文档https://docs.opencv.org/3.1.0/d4/d13/tutorial_py_filtering.html 4、cv2.filter2D示例https://www.programc...
def blur_filter_func(filename): img = cv2.imread(filename) rgbimg = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) # 均值滤波: 简单的平均卷积操作 result = cv2.blur(img, (5, 5)) # 显示图像 titles = ['origin image','blur image']
# Plot the image with different kernel sizes kernels = [5, 11, 17] fig, axs = plt.subplots(nrows = 1, ncols = 3, figsize = (20, 20)) for ind, s in enumerate(kernels): img_blurred = cv2.blur(img, ksize = (s, s))
importcv2ascvimportnumpyasnpdefblur(image):""" 均值模糊 """# 参数(5,5):表示高斯矩阵的长与宽都是5dst=cv.blur(image,(5,5))# 图二为均值模糊图cv.imshow("blur",dst)defmedian(image):""" 中值模糊 """# 第二个参数是孔径的尺寸,一个大于1的奇数。# 比如这里是5,中值滤波器就会使用5×5...
cv.imshow("Gaussian Blur", dst) cv.waitKey(0) cv.destroyAllWindows() 六、边缘保留滤波EPF 进行边缘保留滤波通常用到两个方法:高斯双边滤波和均值迁移滤波。 #边缘保留滤波(EPF) 高斯双边、均值迁移 import cv2 as cv import numpy as np def bi_demo(image): #双边滤波 ...
blur(src, blurred_image, Size(15,15)); // 高斯滤波 Mat gaussian_blurred_image; GaussianBlur(src,gaussian_blurred_image, Size(15,15),0); // 中值滤波 Mat median_blurred_image; medianBlur(src, median_blurred_image,15); // 双边滤波 ...
blur(src, blurred_image, Size(15,15)); // 高斯滤波 Mat gaussian_blurred_image; GaussianBlur(src,gaussian_blurred_image, Size(15,15),0); // 中值滤波 Mat median_blurred_image; medianBlur(src, median_blurred_image,15); // 双边滤波 ...