使用python平均过滤器

我是python的新手，并尝试将平均过滤器应用于图像，这是我理解平均概念的方式

I am new in python and trying apply averaging filter on image as the way i understand averaging concept

总结包括自身在内的相邻元素，然后将其除以元素数量 技术

summing up the neighboring elements including itself and divide it by number of elements technique

但是问题是图像变暗而不是图像模糊

But the problem is getting dark image rather then blur image as result

image = cv2.imread('./images/hip-salt.jpg', 0);
width = image.shape[1]
height = image.shape[0]
result = np.zeros((image.shape[0], image.shape[1]), int)

def meanFilter():
  for row in range(height):
     for col in range(width):  
         currentElement=0; left=0; right=0; top=0; bottom=0; topLeft=0; 
         topRight=0; bottomLeft=0; bottomRight=0;
         counter = 1           
         currentElement = image[row][col]

         if not col-1 < 0:
             left = image[row][col-1]
             counter +=1                        
         if not col+1 > width-1:
             right = image[row][col+1]
             counter +=1 
         if not row-1 < 0:
             top = image[row-1][col]
             counter +=1 
         if not row+1 > height-1:
             bottom = image[row+1][col]
             counter +=1 

         if not row-1 < 0 and not col-1 < 0:
             topLeft = image[row-1][col-1]
             counter +=1 
         if not row-1 < 0 and not col+1 > width-1:
             topRight = image[row-1][col+1]
             counter +=1 
         if not row+1 > height-1 and not col-1 < 0:
             bottomLeft = image[row+1][col-1]
             counter +=1 
         if not row+1 > height-1 and not col+1 > width-1:
             bottomRight = image[row+1][col+1]
             counter +=1

         total = int(currentElement)+int(left)+int(right)+int(top)+int(bottom)+int(topLeft)+int(topRight)+int(bottomLeft)+int(bottomRight)
         avg = total/counter
         result[row][col] = avg

meanFilter(); 
cv2.imshow('Averaging Filter', result);
cv2.waitKey(0)
cv2.destroyAllWindows()