直方图匹配法比较图像

Question

我想用直方图匹配的方法来比较两幅图像。在

显然，这两幅图像很相似。然后，我试图找出与以下代码的相关性。在

import cv2
import numpy as np

#reading the images and convert them to HSV
base = cv2.imread('base.jpg')
test1 = cv2.imread('test1.jpg')
basehsv = cv2.cvtColor(base,cv2.COLOR_BGR2HSV)
test1hsv = cv2.cvtColor(test1,cv2.COLOR_BGR2HSV)

# Calculate the Hist for each images
histbase = cv2.calcHist(basehsv,[0,1],None,[180,256],ranges)
cv2.normalize(histbase,histbase,0,255,cv2.NORM_MINMAX)
histtest1 = cv2.calcHist(test1hsv,[0,1],None,[180,256],ranges)
cv2.normalize(histtest1,histtest1,0,255,cv2.NORM_MINMAX)

# Compare two Hist. and find out the correlation value
base_test1 = cv2.compareHist(histbase,histtest1,0)
print base_test1 

然而，输出的结果只是0.05xxx。在

为什么相关性这么小？在

我怎样才能提高成绩？谢谢您。在