Using uncertainty techniques to aid defect classification in an automated visual inspection system

Author(s):  
D. Wilson
2020 ◽  
Vol 9 (1) ◽  
pp. 121-128
Author(s):  
Nur Dalila Abdullah ◽  
Ummi Raba'ah Hashim ◽  
Sabrina Ahmad ◽  
Lizawati Salahuddin

Selecting important features in classifying wood defects remains a challenging issue to the automated visual inspection domain. This study aims to address the extraction and analysis of features based on statistical texture on images of wood defects. A series of procedures including feature extraction using the Grey Level Dependence Matrix (GLDM) and feature analysis were executed in order to investigate the appropriate displacement and quantisation parameters that could significantly classify wood defects. Samples were taken from the KembangSemangkuk (KSK), Meranti and Merbau wood species. Findings from visual analysis and classification accuracy measures suggest that the feature set with the displacement parameter, d=2, and quantisation level, q=128, shows the highest classification accuracy. However, to achieve less computational cost, the feature set with quantisation level, q=32, shows acceptable performance in terms of classification accuracy.


1990 ◽  
Author(s):  
P. COLEMAN ◽  
S. NELSON ◽  
J. MARAM ◽  
A. NORMAN

2012 ◽  
Vol 190-191 ◽  
pp. 661-665 ◽  
Author(s):  
Chen Huei Hsieh ◽  
Chi Sheng Tsai ◽  
Ting Yu Tseng ◽  
Yi Sheng Wong ◽  
Shi Zhen Zhou

The gap and the malposition of the contact of automotive relay would heavily influence its life. If the gap and the malposition of all relays can be fully inspected and the inspection operation can be incorporated into the existing automated manufacturing and testing equipment, the quality will thus be significantly promoted. To reach this goal, a visual inspection system based on the platform of LabVIEW has been developed in this paper. The visual inspection system is capable of performing the inspection of the gap and the malposition of electrical contact in 1.6 seconds for one relay, and the whole automation system can manufacture one relay for every 2 seconds.


1983 ◽  
Vol PAMI-5 (6) ◽  
pp. 563-572 ◽  
Author(s):  
Bindinganavle R. Suresh ◽  
Richard A. Fundakowski ◽  
Tod S. Levitt ◽  
John E. Overland

2011 ◽  
Vol 201-203 ◽  
pp. 1619-1622
Author(s):  
Qiang Song

This paper is concerned with the problem of automatic inspection of hot-rolled plate surface using machine vision. An automated visual inspection (AVI) system has been developed to take images of external hot-rolled plate surfaces and the detailed characteristics of the sensor system which include the illumination and digital camera are described. An intelligent surface defect detection paradigm based on morphology is proposed to detect structural defects on plate surfaces. The proposed method has been implemented and tested on a number of hot-rolled plate surfaces. The results suggest that the method can provide an accurate identification to the defects and can be developed into a commercial visual inspection system.


1993 ◽  
Vol 24 (6) ◽  
pp. 625-633 ◽  
Author(s):  
Hiroyuki Tsukahara ◽  
Masato Nakashima ◽  
Takehisa Sugawara

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