import numpy
import cv2
from PIL import Image
def calculate(image1, image2):
image1 = cv2.cvtColor(numpy.asarray(image1), cv2.COLOR_RGB2BGR)
image2 = cv2.cvtColor(numpy.asarray(image2), cv2.COLOR_RGB2BGR)
hist1 = cv2.calcHist([image1], [0], None, [256], [0.0, 255.0])
hist2 = cv2.calcHist([image2], [0], None, [256], [0.0, 255.0])
# 计算直方图的重合度
degree = 0
for i in range(len(hist1)):
if hist1[i] != hist2[i]:
degree = degree + (1 - abs(hist1[i] - hist2[i]) / max(hist1[i], hist2[i]))
else:
degree = degree + 1
degree = degree / len(hist1)
return degree
def classify_hist_with_split(image1, image2, size=(256, 256)):
image1 = Image.open(image1)
image2 = Image.open(image2)
# 将图像resize后,分离为RGB三个通道,再计算每个通道的相似值
image1 = cv2.cvtColor(numpy.asarray(image1), cv2.COLOR_RGB2BGR)
image2 = cv2.cvtColor(numpy.asarray(image
Python实现两张图片对比得出相似度
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转载自blog.csdn.net/m0_67394230/article/details/125229011
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