Method for extracting video texture characteristics based on fuzzy concept lattice

A technology of fuzzy concept and feature extraction, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of inability to meet the needs of real-time video processing, low efficiency, and large amount of calculation, so as to meet real-time needs and efficiency. Obvious advantages, accurate mining effect

Inactive Publication Date: 2012-01-04
XIDIAN UNIV
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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 v

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  • Method for extracting video texture characteristics based on fuzzy concept lattice
  • Method for extracting video texture characteristics based on fuzzy concept lattice
  • Method for extracting video texture characteristics based on fuzzy concept lattice

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[0030] 1. Introduction to basic theory

[0031] 1.1 Related Theories of Fuzzy Concept Lattice

[0032]Fuzzy concept lattice is a clustering analysis method based on lattice theory, which obtains the corresponding conceptual structure by clustering the relationship between objects and attributes under the background of a specific form in a certain field. In the fuzzy concept lattice, the relationship between conceptual attributes and objects is an uncertain fuzzy relationship, such as "young people have high consumption levels", where "young people" is an object, which is a fuzzy set, and "high consumption level" is an attribute It can only be described by the degree of affiliation. The consumption level involves income, basic necessities of life, family burden, culture and entertainment, etc. It is a fuzzy set of multiple attributes. At present, domestic and foreign scholars have done a lot of research on the construction algorithm of fuzzy concept lattice. Among them, Liu Zo...

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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 thevideo 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...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46
Inventor 同鸣冯向玲姬红兵张建龙
Owner XIDIAN UNIV
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