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Efficient Texture Analysis for Industrial Inspection

Mitchell, TA, Bowden, R and Sarhadi, M (2010) Efficient Texture Analysis for Industrial Inspection International Journal of Production Research, 38 (4). pp. 967-984.

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Abstract

This paper describes a convolution-based approach to the analysis of images containing few texture classes. Segmentation of foreground and background textures, or detection of boundaries between similarly textured objects, is demonstrated. The application to industrial inspection applications is demonstrated. Near frame-rate performance on low-cost hardware is possible, since only convolution with small kernels is used. A new algorithm to optimize convolution kernels for the required texture analysis task is presented. A key feature of the paper is the industrial readiness of the techniques described.

Item Type: Article
Subjects : Computing
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
AuthorsEmailORCID
Mitchell, TAUNSPECIFIEDUNSPECIFIED
Bowden, RUNSPECIFIEDUNSPECIFIED
Sarhadi, MUNSPECIFIEDUNSPECIFIED
Date : 14 November 2010
Identification Number : https://doi.org/10.1080/002075400189248
Copyright Disclaimer : © 2000 Taylor & Francis Ltd.
Depositing User : Symplectic Elements
Date Deposited : 27 Oct 2016 12:34
Last Modified : 27 Oct 2016 12:34
URI: http://epubs.surrey.ac.uk/id/eprint/812638

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