根据最近的学习需求创建了一个自动生成椒盐图Python程序。后续还有改进空间。

import cv2
import numpy as np

img_name = "Lenna.jpg"

if __name__ == '__main__':
    print ("load %s..." %img_name)
    img = cv2.imread(img_name)
    count = int(img.shape[0]*img.shape[1]/200)
    print("椒盐数:%d" %count)
    for k in range(0, count):
        #get the random point
        xi = int(np.random.uniform(0, img.shape[1]))
        xj = int(np.random.uniform(0, img.shape[0]))
        #如果是灰度图
        if img.ndim == 2:
            index = np.random.randint(0,2)
            #生成椒
            if index == 0:
                img[xj, xi] = 255
            #生成盐
            else:
                img[xj, xi] = 0
        #如果是BGR图
        elif img.ndim == 3:
            index = np.random.randint(0,2)
            #生成椒
            if index == 0:
                img[xj,xi,0] = 25
                img[xj,xi,1] = 20
                img[xj,xi,2] = 20
            #生成盐
            else:
                img[xj,xi,0] = 255
                img[xj,xi,1] = 255
                img[xj,xi,2] = 255
    cv2.imshow("img", img)
    cv2.imwrite("LennaNoise.jpg", img)
    cv2.waitKey()
    cv2.destroyAllWindows()

• OpenCV
• 计算机视觉