Sobel operator-based extraction method of profile and detail composite characteristic vector used for representing fabric texture

Abstract

The invention belongs to the field of digital image processing and pattern identification, and in particular relates to a Sobel operator-based extraction method of a profile and detail composite characteristic vector used for representing fabric texture. The method comprises the following steps of: performing horizontal and vertical Sobel operator filtering processing on an original fabric image to acquire two corresponding filtering images; calculating a set of gray level statistics, which have a uniform mode and serve as two profile characteristics, of the two filtering images; simultaneously, calculating to obtain four extremal gray level statistics serving as four detail characteristics, from the two filtering images, according to a basic cycle period of the fabric texture and a traversing method, wherein the gray level statistics are consistent with that which is selected when the profile characteristic is calculated; and combining the two profile characteristics with the four detail characteristics to form the composite characteristic vector. In the composite characteristic vector, each characteristic has high complementarity; and the composite characteristic vector gives consideration to profile information and detail information of the texture and also to horizontal information and longitudinal information of the texture, and can fully describe characteristics of the fabric texture in detail.

Description

technical field

[0001] The invention belongs to the field of digital image processing and pattern recognition, and in particular relates to a Sobel operator-based method for extracting feature vectors of a mixture of outline and 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 appe...

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