opencv矩阵点是反的
# img[1,2] 1:图片的高度,2:图片的宽度
for y in range(1, w - 1):
for x in range(1, h - 1):...imwrite(filename,img)
return img
def interference_point(img,img_name, x = 0, y = 0):
"""点降噪
9邻域框...range(0, height - 1):
if y == 0: # 第一行
if x == 0: # 左上顶点,4邻域
#...+ 1])
if sum <= 3 * 245:
img[x, y] = 0
else: # 具备9领域条件的...y] = 0
else:
pixdata[x, y] = 255
return img
def cfs(im,x_fd,y_fd):
'''用队列和集合记录遍历过的像素坐标代替单纯递归以解决