本文实例为大家分享了python实现彩色图转换成灰度图的具体代码，供大家参考，具体内容如下
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from pil import imageimport os # 图像组成：红绿蓝 （rgb）三原色组成 亮度（255,255,255）image = "annie1.jpg"img = image.open(image)img_all = "素描" + imagenew = image.new("l", img.size, 255)width, height = img.sizeimg = img.convert("l")# print(img.size)# print(img.mode) #rbg## img_get = img.getpixel((0, 0))# print(img_get) #三原色通道## img_l=img.convert('l')# print(img_l)# img_get_l=img_l.getpixel((0,0)) #换算 得到灰度值# print(img_get_l) # 定义画笔的大小pen_size = 3# 色差扩散器color_diff = 6for i in range(pen_size + 1, width - pen_size - 1): for j in range(pen_size + 1, height - pen_size - 1): # 原始的颜色 originalcolor = 255 lcolor = sum([img.getpixel((i - r, j)) for r in range(pen_size)]) // pen_size rcolor = sum([img.getpixel((i + r, j)) for r in range(pen_size)]) // pen_size # 通道----颜料 if abs(lcolor - rcolor) > color_diff: originalcolor -= (255 - img.getpixel((i, j))) // 4 new.putpixel((i, j), originalcolor) ucolor = sum([img.getpixel((i, j - r)) for r in range(pen_size)]) // pen_size dcolor = sum([img.getpixel((i, j + r)) for r in range(pen_size)]) // pen_size # 通道----颜料 if abs(ucolor - dcolor) > color_diff: originalcolor -= (255 - img.getpixel((i, j))) // 4 new.putpixel((i, j), originalcolor) acolor = sum([img.getpixel((i - r, j - r)) for r in range(pen_size)]) // pen_size bcolor = sum([img.getpixel((i + r, j + r)) for r in range(pen_size)]) // pen_size # 通道----颜料 if abs(acolor - bcolor) > color_diff: originalcolor -= (255 - img.getpixel((i, j))) // 4 new.putpixel((i, j), originalcolor) qcolor = sum([img.getpixel((i + r, j - r)) for r in range(pen_size)]) // pen_size wcolor = sum([img.getpixel((i - r, j + r)) for r in range(pen_size)]) // pen_size # 通道----颜料 if abs(qcolor - wcolor) > color_diff: originalcolor -= (255 - img.getpixel((i, j))) // 4 new.putpixel((i, j), originalcolor) new.save(img_all) i = os.system('mshta vbscript createobject("sapi.spvoice").speak("%s")(window.close)' % '您的图片转换好了')os.system(img_all) |
原图像：
转换后
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持服务器之家。
原文链接：https://blog.csdn.net/Bancroft_boy/article/details/81209810
