Enhance quality control management for sensitive industrial products using 2D/3D image processing algorithms

Corners detection and sensitive parts features extractions methods are gaining more interests in quality control for automated industrial sensitive products manufacturing. As 2D edge defections detections algorithms have their own limitation as they are not supportive and accurate, 3D can improve si...

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Veröffentlicht in:	2014 Electrical Power, Electronics, Communicatons, Control and Informatics Seminar (EECCIS) S. 126 - 131
Hauptverfasser:	Al-Yoonus, Murthad, Jawad, Mohammed Saeed, Abdullah, M. F. L., Al-Shargie, Fares
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2014
Schlagworte:	2D edge detections 3D edge detections Classification algorithms Feature extraction Image edge detection Image enhancement mismatching classifications PCA quality control sensitive edges Three-dimensional displays
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Beschreibung
Zusammenfassung:	Corners detection and sensitive parts features extractions methods are gaining more interests in quality control for automated industrial sensitive products manufacturing. As 2D edge defections detections algorithms have their own limitation as they are not supportive and accurate, 3D can improve significantly the accuracy of detecting the product defects. This paper, proof the concept of the accuracy of using 3D edge defections detection in comparison with 2D. Percentages of edge defection detections have been shown to aid the decision making of accepting or rejecting the final products shaping before delivery stage. Results showed that in many cases, 3D edge defections detections aid the decision making better than 2D edge detections algorithms.
DOI:	10.1109/EECCIS.2014.7003732