Python通过PIL获取图片主要颜色并和颜色库进行对比的方法

import colorsys
def get_dominant_color(image):
#颜色模式转换，以便输出rgb颜色值
image = image.convert('RGBA')
#生成缩略图，减少计算量，减小cpu压力
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]):
# 跳过纯黑色
if a == 0:
continue
saturation = colorsys.rgb_to_hsv(r / 255.0, g / 255.0, b / 255.0)[1]
y = min(abs(r * 2104 + g * 4130 + b * 802 + 4096 + 131072) >> 13, 235)
y = (y - 16.0) / (235 - 16)
# 忽略高亮色
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

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