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Automated vision inspection of timber surface defect: a review

Hashim, Ummi Rabaah and Mohd. Hashim, Siti Zaiton and Muda, Azah Kamilah (2015) Automated vision inspection of timber surface defect: a review. Jurnal Teknologi, 77 (20). pp. 127-135. ISSN 0127-9696

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Official URL: http://dx.doi.org/10.11113/jt.v77.6562

Abstract

Automated inspection has proven to be of great importance in increasing the quality of timber products, optimising raw material resources, increasing productivity as well as reducing error related to human labour. This paper reviews automated inspection of timber surface defects with a special focus on vision inspection. Previous works on sensors utilised are presented and can be used as a reference for future researchers. General approaches to solving the problem of wood surface defect detection can be categorised into segmentation and non-segmenting approaches. The weaknesses and strengths of each approach are discussed along with feature extraction techniques and classifiers implemented in timber surface defect detection. Furthermore, insights into the practicality of implementing automated vision inspection of timber defects were also discussed. This paper shall benefit researchers and practitioners in understanding different approaches, sensors, feature extraction techniques as well as classifiers that have been implemented in automated inspection of timber surface defects, thus providing some direction for future research. © 2015 Penerbit UTM Press. All rights reserved.

Item Type:Article
Uncontrolled Keywords:automated vision inspection, defect detection, non-destructive testing, timber defect detection, wood inspection
Subjects:A General Works
ID Code:57930
Deposited By: Haliza Zainal
Deposited On:04 Dec 2016 12:07
Last Modified:11 Apr 2017 12:25

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