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A Review of Fabric Identification Based on Image Analysis Technology

A Review of Fabric Identification Based on Image Analysis Technology This paper provides a review of the automatic methods used for the identification of woven fabrics developed in nearly 30 years starting from the mid-1980s until now. Compared with the manual method based on human eyes and experiences, the objective evaluation technology based on image processing and artificial intelligence holds the advantages of quick response, digital solution and accuracy. This paper describes briefly the background of weave pattern recognition and its development based on an overview of many researches done before. The reported methods can be classified into five categories (diffraction analysis-based, photoelectric analysis-based, frequency domain analysis- based, spatial domain analysis-based, jointed methods and other ones). Both the merits and demerits of frequency domain analysis-based and spatial domain analysis-based methods have been summarized and discussed in this paper. Therefore, it can provide a good reference platform for the researchers to understand and utilize these methods presented for the recognition of woven fabric weave pattern. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Textiles and Light Industrial Science and Technology Science and Engineering Publishing Company

A Review of Fabric Identification Based on Image Analysis Technology

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Publisher
Science and Engineering Publishing Company
Copyright
Science and Engineering Publishing Company
ISSN
2304-943X
eISSN
2304-9421

Abstract

This paper provides a review of the automatic methods used for the identification of woven fabrics developed in nearly 30 years starting from the mid-1980s until now. Compared with the manual method based on human eyes and experiences, the objective evaluation technology based on image processing and artificial intelligence holds the advantages of quick response, digital solution and accuracy. This paper describes briefly the background of weave pattern recognition and its development based on an overview of many researches done before. The reported methods can be classified into five categories (diffraction analysis-based, photoelectric analysis-based, frequency domain analysis- based, spatial domain analysis-based, jointed methods and other ones). Both the merits and demerits of frequency domain analysis-based and spatial domain analysis-based methods have been summarized and discussed in this paper. Therefore, it can provide a good reference platform for the researchers to understand and utilize these methods presented for the recognition of woven fabric weave pattern.

Journal

Textiles and Light Industrial Science and Technology – Science and Engineering Publishing Company

Published: Jul 1, 2013

Keywords: Woven Fabric; Pattern Recognition; Image Processing; Artificial Intelligence

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