Feature Matching of Fuzzy Multimedia Image Based on Improved SIFT Matching

Matching of fuzzy multimedia image has the disadvantage of larger error, a feature matching method for fuzzy multimedia image based on improved SIFT matching is proposed, on the basis of analyzing the shortcomings of the traditional method, multimedia images are preprocessed, and fuzzy space ideology is introduced in the algorithm to simulate all kinds of causes for fuzzy multimedia image, according to results to expand the database image set. Generating SIFT feature descriptors to determine the main direction of the feature points, the fuzzy image is rotated to the main direction and rotation invariance of the blurred image is maintained. Euclidean distance is used to measure the similarity of two vectors, through judging the ratio of the nearest neighbor distance and the second nearest neighbor distance exceeds a certain threshold, so as to determine the nearest adjacent points and the feature is the best match. The simulation results show that, the proposed method has high accuracy.