技術標籤：CVopencvpython影象處理

 def sp_noiseImg(img_file1,prob): #同時加雜亂(RGB單噪聲)RGB圖噪聲 prob:噪聲佔比
     image = np.array(img_file1,dtype=float)
     height = image.shape[0]
     width = image.shape[1]
     channels = image.shape[2]
     #prob = 0.05 #噪聲佔比 已經比較明顯了 >0.1 嚴重影響畫質
     NoiseImg = image.copy()
     NoiseNum = int(prob * image.shape[0] * image.shape[1])
     print("椒鹽噪聲圖")
     print("噪聲數量=",NoiseNum)
     for i in range(NoiseNum):    
         rows = np.random.randint(0, image.shape[0] - 1)    
         cols = np.random.randint(0, image.shape[1] - 1)    
         channel = np.random.randint(0, 3)    
         if np.random.randint(0, 2) == 0:#隨機加鹽或者加椒        
             NoiseImg[rows, cols, channel] = 0    
         else:        
             NoiseImg[rows, cols, channel] = 255
     return NoiseImg
     ```