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- W1975060111 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." @default.
- W1975060111 created "2016-06-24" @default.
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- W1975060111 date "2011-10-01" @default.
- W1975060111 modified "2023-09-28" @default.
- W1975060111 title "3D fabric feature extraction and defect classification using low-cost USB camera" @default.
- W1975060111 doi "https://doi.org/10.1117/12.913388" @default.
- W1975060111 hasPublicationYear "2011" @default.
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