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http://dx.doi.org/10.7236/JIIBC.2020.20.4.201

A Study on the Analysis of Structural Textures using CNN (Convolution Neural Network)  

Lee, Bongkyu (Dept. of Computers&Statistics, Jeju National University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.20, no.4, 2020 , pp. 201-205 More about this Journal
Abstract
The structural texture is defined as a form which a texel is regularly repeated in the texture. Structural texture analysis/recognition has various industrial applications, such as automatic inspection of textiles, automatic testing of metal surfaces, and automatic analysis of micro images. In this paper, we propose a Convolution Neural Network (CNN) based system for structural texture analysis. The proposed method learns texles, which are components of textures to be classified. Then, this trained CNN recognizes a structural texture using a partial image obtained from input texture. The experiment shows the superiority of the proposed system.
Keywords
Classification; CNN; Industrial applications; Partial image; Structural texture;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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