图像偏色检测算法-python版实现

原帖 

https://blog.csdn.net/fightingforcv/article/details/52724848

python版本代码

img = cv2.cvtColor(img, cv2.COLOR_BGR2LAB)
l_channel, a_channel, b_channel = cv2.split(img)
h,w,_ = img.shape
da = a_channel.sum()/(h*w)-128
db = b_channel.sum()/(h*w)-128
histA = [0]*256
histB = [0]*256
for i in range(h):
    for j in range(w):
        ta = a_channel[i][j]
        tb = b_channel[i][j]
        histA[ta] += 1
        histB[tb] += 1
msqA = 0
msqB = 0
for y in range(256):
    msqA += float(abs(y-128-da))*histA[y]/(w*h)
    msqB += float(abs(y - 128 - db)) * histB[y] / (w * h)
import math
result = math.sqrt(da*da+db*db)/math.sqrt(msqA*msqA+msqB*msqB)
print("d/m = %s"%result)