python实现彩色图转换成灰度图

  • Z时代
  • 2024-01-10
  • 分类：综合

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

from PIL import Image
import 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" + image
new = Image.new("L", img.size, 255)
width, height = img.size
img = 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 = 6
for 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

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