基于OpenCV的图像相似度比对算法.7z

import cv2 def compare_hist(img1, img2): # 将图像转换为HSV颜色空间 img1_hsv = cv2.cvtColor(img1, cv2.COLOR_BGR2HSV) img2_hsv = cv2.cvtColor(img2, cv2.COLOR_BGR2HSV) # 计算图像的直方图 hist1 = cv2.calcHist([img1_hsv], [0, 1], None, [180, 256], [0, 180, 0, 256]) hist2 = cv2.calcHist([img2_hsv], [0, 1], None, [180, 256], [0, 180, 0, 256]) # 归一化直方图 cv2.normalize(hist1, hist1, alpha=0, beta=1, norm_type=cv2.NORM_MINMAX) cv2.normalize(hist2, hist2, alpha=0, beta=1, norm_type=cv2.NORM_MINMAX) # 计算直方图相似性 similarity = cv2.compareHist(hist1, hist2, cv2.HISTCMP_CORREL) return similarity # 读取两幅图像 image1 = cv2.imread('1.png') image2 = cv2.imread('2.png') # 调整图像的大小，使其具有相同的尺寸 image1 = cv2.resize(image1, (image2.shape[1], image2.shape[0])) # 计算两幅图像的相似性 similarity = compare_hist(image1, image2) # 打印相似性度量值 print("Similarity:", similarity)