OpenCV---图像中的噪声是如何产生（10）

附代码如下：

import cv2 as cv
import numpy as np
def noise():
    src = cv.imread("D:/matplotlib/0.jpg")
    cv.imshow("input", src)
    h,w = src.shape[:2]
    rows = np.random.randint(0,h,(5000),dtype=np.int)
    cols = np.random.randint(0, w, (5000), dtype=np.int)
    for i in range(5000):
        if i % 2 == 1:
            src[rows[i],cols[i]] = (255,255,255)
        else:
            src[rows[i], cols[i]] = (0, 0, 0)
    cv.imshow("noise",src)
    cv.waitKey(0)
    cv.destroyAllWindows()
noise()

运行结果：

代码解释：

import cv2 as cv
import numpy as np
def noise():
    src = cv.imread("D:/matplotlib/0.jpg")
    cv.imshow("input", src)
    h,w = src.shape[:2]
    #获取图像属性
    rows = np.random.randint(0,h,(5000),dtype=np.int)
    #随机产生5000个噪声点
    cols = np.random.randint(0, w, (5000), dtype=np.int)
    for i in range(5000):
        if i % 2 == 1:
            src[rows[i],cols[i]] = (255,255,255)
            #当为奇数的时候给白色的噪声点
        else:
            src[rows[i], cols[i]] = (0, 0, 0)
    cv.imshow("noise",src)
    cv.waitKey(0)
    cv.destroyAllWindows()
noise()