最原始的图像处理

原图

#!/usr/bin/python
#  -*- coding:utf-8 -*-

import numpy as np
import os
from PIL import Image

def convolve(image, weight): height, width = image.shape h, w = weight.shape height_new = height - h + 1 width_new = width - w + 1 image_new = np.empty((height_new, width_new), dtype=np.float) for i in range(height_new): for j in range(width_new): image_new[i,j] = np.sum(image[i:i+h, j:j+w] * weight) image_new = image_new.clip(0, 255) image_new = np.rint(image_new).astype('uint8') return image_new

if __name__ == "__main__": A = Image.open("./son.png", 'r') print(A) output_path = './ImageConvolve/' if not os.path.exists(output_path): os.mkdir(output_path) a = np.array(A) print(a.shape) 
  

 

  
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文章来源: maoli.blog.csdn.net，作者：刘润森！，版权归原作者所有，如需转载，请联系作者。

原文链接：maoli.blog.csdn.net/article/details/89531444