Method for extracting video texture characteristics based on fuzzy concept lattice

Abstract

The invention discloses a method for extracting video texture characteristics based on fuzzy concept lattice, which mainly solves the problems of large computation quantity, low efficiency and low real-time performance in a traditional method. The method comprises the realizing steps of: (1) dividing a video lens; separating the divided video lenses into video segments; using a first frame of the video segments as a key frame of the video segments; (2) separating an image of the key frame into blocks; computing a gray co-occurrence matrix of the image blocks; computing fourteen texture characteristic vectors of second-order moments, entropy and the like based on the gray co-occurrence matrix; (3) using the image blocks of the key frame as an object set; using the texture characteristic vectors of the image blocks as an attribute set to form a fuzzy form background for constructing the fuzzy concept lattices; (4) generating a texture related rule by the fuzzy concept lattices of the key frame; and (5) extracting the texture characteristics of all video frames in the video segments according to the texture related rule of the key frame. The method can be used for quickly and accurately extracting the video texture characteristics, and video processing fields of target identification, video search and the like.

Description

technical field [0001] The invention belongs to the technical field of image processing, relates to video texture feature extraction, and can be used in video processing fields such as object recognition and video retrieval. Background technique [0002] Texture is a regional visual feature that does not depend on color or brightness, but reflects the homogeneity of the image. It can better take into account both the macroscopic properties and the fine structure of the image, so it has become an important aspect in the field of video processing such as object recognition. One of the characteristics. [0003] At present, the texture feature extraction methods mainly include the following types: [0004] [1] Chun Y.D. Image retrieval using BDIP and BVLC moments. IEEE Transactions on Circuits and Systems for Video Technology, 2003, 13(9): 951-957. This method utilizes the orthogonality of Garbor wavelet basis functions to effectively extract texture features and eliminate red...

AI Technical Summary

Problems solved by technology

[0008] To sum up, due to the large amount of massive video data and the redundancy, the above image texture extraction methods directly applied to video texture feature extraction have a large amount of calculation and low efficiency, which cannot meet the real-time video processing requirements.

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