ff.zip_Eink_抖动算法_误差扩散算法

import time import cv2 import numpy as np from matplotlib import pyplot as plt from PIL import Image,ImageEnhance,ImageFilter start = time.clock() img_name = 'test.png' #去除干扰线 im = Image.open(img_name) #图像二值化 enhancer = ImageEnhance.Contrast(im) im = enhancer.enhance(1) im = im.convert('1') data = im.getdata() w,h = im.size #im.show() black_point = 0 for x in range(1,w-1): for y in range(1,h-1): mid_pixel = data[w*y+x] #中央像素点像素值 if mid_pixel == 0: #找出上下左右四个方向像素点像素值 top_pixel = data[w*(y-1)+x] left_pixel = data[w*y+(x-1)] down_pixel = data[w*(y+1)+x] right_pixel = data[w*y+(x+1)] #判断上下左右的黑色像素点总个数 if top_pixel == 0: black_point += 1 if left_pixel == 0: black_point += 1 if down_pixel == 0: black_point += 1 if right_pixel == 0: black_point += 1 if black_point >= 3: im.putpixel((x,y),0) #print black_point black_point = 0 im.save("cvff.bmp",'bmp') elapsed = (time.clock() - start) print("Time used:",elapsed)