本文介绍了使用OpenCV计算两个图像的百分比相似度的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我可以使用bewlow显示的代码找到匹配的功能。我想计算两个图像之间的百分比相似度。我是OpenCV的新手。任何形式的帮助都将受到高度赞赏。
I am able to find matching features using bewlow shown code. I want to calculate percentage similarity between two images. I am new to OpenCV. Any kind of help will be highly appreciated.
FeatureDetector detector = FeatureDetector.create(FeatureDetector.ORB);
DescriptorExtractor extractor = DescriptorExtractor
.create(DescriptorExtractor.ORB);
detector.detect(image1, keypoints1);
detector.detect(image2, keypoints2);
extractor.compute(image1, keypoints1, descriptors1);
extractor.compute(image2, keypoints2, descriptors2);
DescriptorMatcher matcher = DescriptorMatcher
.create(DescriptorMatcher.BRUTEFORCE_HAMMING);
MatOfDMatch matches = new MatOfDMatch();
matcher.match(descriptors1, descriptors2, matches);
是否有其他图书馆可用于同一目的?
Is there any other library available serving the same purpose?
推荐答案
我找到两个图书馆和提供我想要的东西。我将评估它们的性能以及与我的代码的兼容性并选择最好的代码。
I found two libraries pHash and pdiff offering what I am looking for. I'll evaluate their performance and as well as compatibility with my code and pick the best one.
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