outpic.py

# -*- coding: utf-8 -*-
"""
Created on Fri Mar 30 11:27:16 2018

@author: apple
"""

#coding:utf-8  
import sys,os  
from PIL import Image,ImageDraw  
  
#二值判断,如果确认是噪声,用改点的上面一个点的灰度进行替换  
#该函数也可以改成RGB判断的,具体看需求如何  
def getPixel(image,x,y,G,N):  
    L = image.getpixel((x,y))  
    if L > G:  
        L = True  
    else:  
        L = False  
  
    nearDots = 0  
    if L == (image.getpixel((x - 1,y - 1)) > G):  
        nearDots += 1  
    if L == (image.getpixel((x - 1,y)) > G):  
        nearDots += 1  
    if L == (image.getpixel((x - 1,y + 1)) > G):  
        nearDots += 1  
    if L == (image.getpixel((x,y - 1)) > G):  
        nearDots += 1  
    if L == (image.getpixel((x,y + 1)) > G):  
        nearDots += 1  
    if L == (image.getpixel((x + 1,y - 1)) > G):  
        nearDots += 1  
    if L == (image.getpixel((x + 1,y)) > G):  
        nearDots += 1  
    if L == (image.getpixel((x + 1,y + 1)) > G):  
        nearDots += 1  
  
    if nearDots < N:  
        return image.getpixel((x,y-1))  
    else:  
        return None  
  
# 降噪   
# 根据一个点A的RGB值，与周围的8个点的RBG值比较，设定一个值N（0 <N <8），当A的RGB值与周围8个点的RGB相等数小于N时，此点为噪点   
# G: Integer 图像二值化阀值   
# N: Integer 降噪率 0 <N <8   
# Z: Integer 降噪次数   
# 输出   
#  0：降噪成功   
#  1：降噪失败   
def clearNoise(image,G,N,Z):  
    draw = ImageDraw.Draw(image)  
  
    for i in range(0,Z):  
        for x in range(1,image.size[0] - 1):  
            for y in range(1,image.size[1] - 1):  
                color = getPixel(image,x,y,G,N)  
                if color != None:  
                    draw.point((x,y),color)  
'''
#测试代码  
def main():  
    #打开图片  
    image = Image.open("name/1.jpg")  
  
    #将图片转换成灰度图片  
    image = image.convert("L")  
    #image.show()
  
    #去噪,G = 50,N = 4,Z = 4  
    clearNoise(image,60,3,7)  
  
    #保存图片  
    #image.save("d:/result.jpg")  
    image.show()
  
  
if __name__ == '__main__':  
    main()  
'''