最原始的图像处理
【摘要】 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_ne...
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)
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
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