OpenCv基本操作（裁剪，尺寸变换，噪声处理，模糊与滤波，亮度对比度转化，负片转化等）

OpenCV基本操作

引入

import cv2 as cv
import numpy as np
import random
src = cv.imread("E:\DIP\imag\l_hires.jpg")

几何变换

#图像裁剪print(src.shape)
#(2318,1084,3)
new_src = src[200:600,300:700]
cv.imwrite('new_src.jpg',new_src)

# 图像尺寸变换
img = cv.imread('new_src.jpg')
print(img.shape)
#(600,600,3)
new_img = cv.resize(img,(300,300),interpolation = cv.INTER_AREA)
cv.imwrite('new_img1.jpg',new_img)
print(new_img.shape)

new_img2 = cv.resize(img, None, fx=0.5, fy=0.5, interpolation = cv.INTER_AREA)
print(new_img2.shape)
#图像的宽对应的是列数，高对应的是行数
#(300,300,3)
cv.imwrite('new_img2.jpg',new_img2)

图像噪声处理

#添加噪声
#添加椒盐噪声
def salt_and_pepper_noise(img,percentage):rows, cols = img.shapenum = int(percentage * ro