去除图片干扰线
# coding: utf-8
from PIL import Image
import numpy as np
def img_proce(img_path):
'''图片处理 去除干扰线'''
img = Image.open(img_path)
img2 = Image.new("RGB", img.size, 255)
for x in range(img.size[1]):
for y in range(img.size[0]):
pix = img.getpixel((y, x))
img2.putpixel((y, x), pix)
if pix[0] == pix[1] == pix[2]:
img2.putpixel((y, x), (255,255,255))
return img2
if __name__ == '__main__':
img2 = img_proce("auth.png")
img2.save("lines.png")
去除干扰线
修复图像
def img_proce(img_path):
'''图片处理 去除干扰线'''
img = Image.open(img_path)
img2 = Image.new("RGB", img.size, 255)
for x in range(img.size[1]):
for y in range(img.size[0]):
pix = img.getpixel((y, x))
img2.putpixel((y, x), pix)
if pix[0] == pix[1] == pix[2]:
img2.putpixel((y, x), (255,255,255))
# 修复图像
if pix in [(0, 0, 0)]:
if x > 0 and x < img.size[1] - 1:
down_pix = img.getpixel((y, x+1))
up_pix = img.getpixel((y, x-1))
new_pix = tuple([sum(x) for x in zip(up_pix, down_pix)])
if new_pix not in [(0, 0, 0)]:
img2.putpixel((y, x), new_pix)
return img2
if __name__ == '__main__':
img2 = img_proce("auth.png")
img2.save("1.png")
修复后图片
图片转为灰度并且去除噪点
def get_weight(img, y, x, threshold):
''' 获取该点周围的有效值数量 '''
point_pix = {}
if x > 0:
# up
point_pix['up'] = img.getpixel((y, x-1))
if x < img.size[1] - 1:
# down
point_pix['down'] = img.getpixel((y, x+1))
if y > 0:
# left
point_pix['left'] = img.getpixel((y-1, x))
if y< img.size[0] - 1:
#right
point_pix['right'] = img.getpixel((y+1, x))
if y > 0 and x >0:
# up left
point_pix['up_left'] = img.getpixel((y-1, x-1))
if y< img.size[0] - 1 and x >0:
# up right
point_pix['up_right'] = img.getpixel((y+1, x-1))
if y > 0 and x < img.size[1] - 1:
# down left
point_pix['down_left'] = img.getpixel((y-1, x+1))
if y< img.size[0] - 1 and x < img.size[1] - 1:
# down right
point_pix['down_right'] = img.getpixel((y+1, x+1))
return sum([x < threshold for x in point_pix.values()])
def denoise_img(img2):
''' 噪点处理 '''
img = img2.convert("L")
img3 = Image.new("L", img.size, 255)
for x in range(img.size[1]):
for y in range(img.size[0]):
pix = img.getpixel((y, x))
img3.putpixel((y, x), 255)
threshold = 200
if pix < threshold:
w = get_weight(img, y, x, threshold)
if w > 4:
img3.putpixel((y, x), 0)
return img3
if __name__ == '__main__':
img2 = img_proce("auth.png")
img2.save("1.png")
img3 = denoise_img(img2)
img3.save("3.png")
灰度降噪处理
def split_img(img):
# 图片分割
width = img.size[0] // 4
for x in range(0, img.size[0], width):
img1 = img.crop([x,0,x+width,img.size[1]])
img1.save("split_img%s.png" % x)
if __name__ == '__main__':
img2 = img_proce("auth.png")
img2.save("1.png")
img3 = denoise_img(img2)
img3.save("3.png")
split_img(img3)
分割处理
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