Paper
30 September 2011 3D fabric feature extraction and defect classification using low-cost USB camera
Fikri Akbar, Habibullah Akbar, Nanna Suryana, Muhammad Husni
Author Affiliations +
Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 828513 (2011) https://doi.org/10.1117/12.913388
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt
Abstract
Defect detection on industrial product using vision system currently is considered as necessity. Quality control of product requires several key factors. Consistency of detection is one of the crucial factors in quality control. Previous method of defect detection requires human assistance. Vision system is the alternative solution for the inconsistent human-based detection. This article discusses defect detection, defect feature extraction and defect classification of fabric product. The solution proposed is by using statistical filter for defect recognition. Extracted features are GLCM-based features, and the proposed 3D defect feature. Defect classification is carried out using Neural Network. The result shows a promising result towards classifying defect product.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fikri Akbar, Habibullah Akbar, Nanna Suryana, and Muhammad Husni "3D fabric feature extraction and defect classification using low-cost USB camera", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828513 (30 September 2011); https://doi.org/10.1117/12.913388
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KEYWORDS
Feature extraction

Defect detection

Inspection

3D image processing

3D acquisition

Image segmentation

Cameras

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