An image patch matching method based on multi-feature fusion

Appropriate features are very important for the robustness and effectiveness of matching algorithms. In general, current algorithms depend on descriptors like SIFT, SURF, which makes them only care about information of key points while ignoring the knowledge of the whole image, thus those methods are easy to result in false matches. We propose a novel matching method called multi-feature fusion, which takes full advantage of geometric, gray, color and texture features. Then we validate the effect of our method using images captured from practical applications. Experiments show the method can effectively complete the matching task of image patch.