OpenCV-Python是旨在解决计算机视觉问题的Python绑定库。cv2.blur()
方法用于使用归一化框滤镜模糊图像。该函数使用内核将图像平滑化,表示为:
用法: cv2.blur(src, ksize[, dst[, anchor[, borderType]]])
参数:
src: It is the image whose is to be blurred.
ksize: A tuple representing the blurring kernel size.
dst: It is the output image of the same size and type as src.
anchor: It is a variable of type integer representing anchor point and it’s default value Point is (-1, -1) which means that the anchor is at the kernel center.
borderType: It depicts what kind of border to be added. It is defined by flags like cv2.BORDER_CONSTANT, cv2.BORDER_REFLECT, etc
返回值: It returns an image.
用于以下所有示例的图像:
范例1:
# Python program to explain cv2.blur() method
# importing cv2
import cv2
# path
path = r'C:\Users\Rajnish\Desktop\geeksforgeeks\geeks.png'
# Reading an image in default mode
image = cv2.imread(path)
# Window name in which image is displayed
window_name = 'Image'
# ksize
ksize = (10, 10)
# Using cv2.blur() method
image = cv2.blur(image, ksize)
# Displaying the image
cv2.imshow(window_name, image)
输出:
范例2:
# Python program to explain cv2.blur() method
# importing cv2
import cv2
# path
path = r'C:\Users\Rajnish\Desktop\geeksforgeeks\geeks.png'
# Reading an image in default mode
image = cv2.imread(path)
# Window name in which image is displayed
window_name = 'Image'
# ksize
ksize = (30, 30)
# Using cv2.blur() method
image = cv2.blur(image, ksize, cv2.BORDER_DEFAULT)
# Displaying the image
cv2.imshow(window_name, image)
输出:
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