# -*- coding: utf-8 -*-

from PIL import Image

import numpy as np

#定位一個種子,返回種子位置

def seed_dirt(img):

for j in range(height):

for i in range(width):

a = img.getpixel((i,j))

if a == 0:

return((i,j))

#標記連通區域-4連通

def LableConnectedRagion4(labelmap,labelindex,quene):

#flag = len(quene)

while len(quene) !=0 :

(m,n) = quene[0] quene.remove(quene[0])

if img.getpixel((m,n+1)) == 0 and labelmap[n+1][m] == 0:

quene.append((m,n+1))

labelindex += 1

labelmap[n+1][m] = 1

if img.getpixel((m,n-1)) == 0 and labelmap[n-1][m] == 0:

quene.append((m,n-1))

labelindex += 1

labelmap[n-1][m] = 1

if img.getpixel((m+1,n)) == 0 and labelmap[n][m+1] == 0:

quene.append((m+1,n))

labelindex += 1

labelmap[n][m+1] = 1

if img.getpixel((m-1,n)) == 0 and labelmap[n][m-1] == 0:

quene.append((m-1,n))

labelindex += 1

labelmap[n][m-1] = 1

#標記連通區域-8連通

def LableConnectedRagion8(labelmap,labelindex,quene):

#flag = len(quene)

while len(quene) !=0 :

(m,n) = quene[0] quene.remove(quene[0])

# print(m,n)

# print(quene)

for i in range(-1,2):

for j in range(-1,2):

if img.getpixel((m+i,n+j)) == 0 and labelmap[n+j][m+i] == 0:

quene.append((m+i,n+j))

labelindex += 1

labelmap[n+j][m+i] = 1

#匹配標記矩陣輸出第一個連通域圖片

def save_image(labelmap):

for i in range(len(labelmap)):

for j in range(len(labelmap[0])):

if labelmap[i][j] != 0:

newImg.putpixel((j,i),0)

總結

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