我试图在Python3.4.2中将图像转换为灰度,但我希望不使用所有“红色”像素
from numpy import *
from pylab import *
from PIL import Image
from PIL import ImageOps
def grayscale(picture):
res = Image.new(picture.mode, picture.size)
red = '150,45,45' # for now I'm just tyring
x = red.split(",") # to change pixels with R value less than 150
#and G/B values greater than 45
width, height = picture.size #to greyscale
for i in range(0, width):
for j in range(0, height):
pixel = picture.getpixel((i, j)) #get a pixel
pixelStr = str(pixel)
pixelStr = pixelStr.replace('(', '').replace(')', '')
pixelStr.split(",") #remove parentheses and split so we
#can convert the pixel into 3 integers
#if its not specifically in the range of values we're trying to convert
#we place the original pixel otherwise we convert the pixel to grayscale
if not (int(pixelStr[0]) >= int(x[0]) and int(pixelStr[1]) <= int(x[1]) and int(pixelStr[2]) <= int(x[2])):
avg = (pixel[0] + pixel[1] + pixel[2]) / 3
res.putpixel((i, j), (int(avg), int(avg), int(avg)))
else:
res.putpixel(pixel)
return res
现在这将图像转换为灰度,但据我所知,它没有像我想象的那样留下任何彩色像素,任何帮助/建议/替代方法来完成我的任务将不胜感激。在
谢谢你
因此,如果将来有人读到这篇文章,我的代码由于我的错误而无法工作
应该是抛出一个错误,因为我没有得到一个位置来放置像素只是颜色信息。因为它没有抛出错误,所以我们实际上从未进入过我的else:statement。在
向队友寻求帮助,我们将代码改为:
^{pr2}$这并不完美,但却是可行的解决办法
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