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

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

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 +=1total = int(currentElement)+int(left)+int(right)+int(top)+int(bottom)+int(topLeft)+int(topRight)+int(bottomLeft)+int(bottomRight)avg = total/counterresult[row][col] = avgmeanFilter(); 
cv2.imshow('Averaging Filter', result);
cv2.waitKey(0)
cv2.destroyAllWindows()

I tested your code and the issue appears to be the type!

the values of result are int but they should be uint8
you can either fill it in correctly to begin with or recast it before displaying, like this:

result = result.astype('uint8')

why are you making this filter manually though? why not use the built in blur filter? you may want to read this