python判断图片主色调，单个颜色：

复制代码 代码如下:

!/usr/bin/env python

-- coding: utf-8 --

import colorsys
from PIL import Image
import optparse

def get_dominant_color(image):
"""
Find a PIL image's dominant color, returning an (r, g, b) tuple.
"""

image = image.convert('RGBA')

Shrink the image, so we don't spend too long analysing color

frequencies. We're not interpolating so should be quick.

image.thumbnail((200, 200))

max_score = None
dominant_color = None

for count, (r, g, b, a) in image.getcolors(image.size[0] * image.size[1]):

Skip 100% transparent pixels

if a == 0:
continue

Get color saturation, 0-1

saturation = colorsys.rgb_to_hsv(r / 255.0, g / 255.0, b / 255.0)[1]

Calculate luminance - integer YUV conversion from

http://en.wikipedia.org/wiki/YUV

y = min(abs(r 2104 + g 4130 + b * 802 + 4096 + 131072) >> 13, 235)

Rescale luminance from 16-235 to 0-1

y = (y - 16.0) / (235 - 16)

Ignore the brightest colors

if y > 0.9:
continue

Calculate the score, preferring highly saturated colors.

Add 0.1 to the saturation so we don't completely ignore grayscale

colors by multiplying the count by zero, but still give them a low

weight.

score = (saturation + 0.1) * count

if score > max_score:
max_score = score
dominant_color = (r, g, b)

return dominant_color

def main():
img = Image.open("meitu.jpg")
print '#%02x%02x%02x' % get_dominant_color(img)

if name == 'main':
main()