Method for extracting fractal general view and fractal detail mixed characteristic vector for representing fabric texture

Abstract

The invention belongs to the field of digital image processing and pattern recognition, particularly relates to a fractal general picture for representing a fabric texture and a method for extracting a fractal detail mixed characteristic vector. The method comprises the following steps of: longitudinally and transversely projecting an original fabric image firstly, and then calculating a fractal dimenstion of a projection combined sequence as a general picture characteristic; calculating a fractal dimenstion of each sub-window containing a transverse basic cycle period or a longitudinal basiccycle period in the original image according to a traversing method, and finally, selecting two fractal dimenstion extreme values of reflecting transverse detail information and two fractal dimenstion extreme values of reflecting longitudinal detail information as detail information used for representing the fabric texture; combining the fractal general picture characteristic and the four fractaldetail characteristics to form the mixed characteristic vector. All the characteristics of the mixed characteristic vector have high complementarity; and the mixed characteristic vector has both the general picture information and the detail information of the texture, also has both the transverse information and the longitudinal information of the texture and can comprehensively and meticulouslydescribing the characteristics of the fabric texture.

Description

technical field [0001] The invention belongs to the field of digital image processing and pattern recognition, in particular to a method for extracting a mixed feature vector of fractal general appearance and fractal detail for characterizing fabric texture. Background technique [0002] With the help of fabric texture characterization technology, the purposes of fabric texture parameter estimation, texture classification, fabric appearance evaluation, and defect detection can be realized. Any fabric texture contains two important information, namely general information and detail information. The overview information provides the overall rough structure and grayscale impression for human eyes or machine vision, while the detail information provides the local fine structure and grayscale impression. Therefore, in order to fully and meticulously characterize the texture structure and reflect the texture characteristics to the maximum extent, both the general appearance and t...

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Problems solved by technology

[0010] The fabric texture characterization methods involved in the above-mentioned existing literature or patents are limited to the extraction of global features for the characterization of fabric texture information, and fail to take into account both the general appearance and detailed information of fabric texture, so they cannot comprehensively and meticulously characterize the essential characteristics of fabric texture

The above-mentioned documents or patents still have the following disadvantages in the fractal representation of fabric texture: 1. The fractal features are directly extracted on the basis of two-dimensional images, which requires a large amount of calculation; 2. The extracted fractal features can only describe the global information of the texture, and cannot Detailed and profound representation of the detailed information of fabric texture; 3. The inherent warp and weft orientation characteristics of fabric texture are not fully utilized in feature extraction to improve the stability of features; 4. The inherent warp and weft rules of fabric texture are not fully utilized in feature extraction Cycling features to improve feature-to-texture representation accuracy

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