Surface Defect Detection And Classification Based On Statistical Filter And Decision Tree

Akbar, Habibullah and Suryana, Nanna and Akbar, Fikri (2013) Surface Defect Detection And Classification Based On Statistical Filter And Decision Tree. International Journal Of Computer Theory And Engineering, 5 (5). pp. 774-779. ISSN 1793-8201

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Industrial quality inspection is a major issue due to the growing of market competitiveness which requires the product to be checked in terms of online defect detection. Meanwhile, labor inspection has been eliminated due to its limitation that restricts the speed of manufacturing process. Hence, automated inspection process is inevitable to preserve the industrial health and lift human function into management tasks. There are huge efforts on Automated Visual Inspection (AVI) research area, particularly in plain surfaces such as ceramics and fabrics. The inspection modeling includes statistical-based, model-based and color analysis. Most systems are well studied and tested on Charge-Coupled Device (CCD) image sensor. However, only few approaches are carried out for Complementary Metal Oxide Semiconductor (CMOS) imaging modality. This study presents an inspection scheme to detect defect in plain fabric based on statistical filter and geometrical features on CMOS-based image input. The advantage of this technology is obvious regarding to its affordable development especially for small and medium industries. We showed that it is suitable for defect inspection applications that does not require specialized lighting environment. In addition, a classification approach is developed based on decision tree framework. The result for static image shows the classification achieve 99% accuracy.

Item Type: Article
Uncontrolled Keywords: Automated visual inspection, plain surfaces, statistical filter, thresholding, geometrical moments, decision tree classifier.
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Divisions: Faculty of Information and Communication Technology > Department of Software Engineeering
Depositing User: Mohd Hannif Jamaludin
Date Deposited: 09 Aug 2019 02:38
Last Modified: 06 Jul 2021 21:33
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