A cascading fuzzy logic with image processing algorithm–based defect detection for automatic visual inspection of industrial cylindrical object’s surface

This paper proposes a cascading fuzzy logic algorithm with image processing technique for defect detection and classification on the lateral surface of industrial cylindrical object using a camera and multiple flat mirrors. The finishing surface of industrial parts such as shafts, bearings, pistons,...

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Vydané v:	International journal of advanced manufacturing technology Ročník 102; číslo 1-4; s. 81 - 94
Hlavní autori:	Ali, Mohammed A. H., Lun, Au Kai
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer London 01.05.2019 Springer Nature B.V
Predmet:	Algorithms Automation CAE) and Design Computer-Aided Engineering (CAD Decision making Defects Engineering Feature extraction Fuzzy logic Image classification Image detection Image processing Industrial and Production Engineering Inspection Low noise Mechanical Engineering Media Management Noise Noise reduction Object recognition Original Article Pistons Fuzzy logic Cylindrical object Non-destructive testing Multiple flat mirror system Defect detection
ISSN:	0268-3768, 1433-3015
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