from skimage.measure import compare_ssim
import cv2
class CompareImage():
def compare_image(self, path_image1, path_image2):
print()
TT = cv2.imread(path_image2, 0)
(W, H) = TT.shape
imageA = cv2.imread(path_image1)
imageB = cv2.imread(path_image2)
# 重置图片大小，下面的compare_ssim 是指接受大小相同的图表对比
imageA1 = cv2.resize(imageA, (W, H))
# 图片灰度处理
grayA = cv2.cvtColor(imageA1, cv2.COLOR_BGR2GRAY)
grayB = cv2.cvtColor(imageB, cv2.COLOR_BGR2GRAY)
(score, diff) = compare_ssim(grayA, grayB, full=True)
print("SSIM: {} {}".format(score, type(diff)))
return score
compare_image = CompareImage()
图表路径为英文绝对路径
compare_image.compare_image(r"D:/1.png", r"D:/1_2.png")
result:
SSIM: 0.9612563765412815
Original: https://blog.csdn.net/qq_28042363/article/details/123080913
Author: chang’ebaba
Title: opencv2 图片相似度比较
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