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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Vydáno v:2014 Electrical Power, Electronics, Communicatons, Control and Informatics Seminar (EECCIS) s. 126 - 131
Hlavní autoři: Al-Yoonus, Murthad, Jawad, Mohammed Saeed, Abdullah, M. F. L., Al-Shargie, Fares
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.08.2014
Témata:
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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Abstract 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.
AbstractList 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.
Author Jawad, Mohammed Saeed
Abdullah, M. F. L.
Al-Yoonus, Murthad
Al-Shargie, Fares
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  organization: Fac. of Electr. & Electron. Eng., Univ. Tun Hussein Onn Malaysia, Batu Pahat, Malaysia
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  givenname: Mohammed Saeed
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  givenname: M. F. L.
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  givenname: Fares
  surname: Al-Shargie
  fullname: Al-Shargie, Fares
  email: faresalshargie@yahoo.com
  organization: Fac. of Electron. & Comput. Eng., Univ. Tech. Malaysia Melaka, Durian Tunggal, Malaysia
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Snippet Corners detection and sensitive parts features extractions methods are gaining more interests in quality control for automated industrial sensitive products...
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StartPage 126
SubjectTerms 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
Title Enhance quality control management for sensitive industrial products using 2D/3D image processing algorithms
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