Occlusion Resilient Quality Evaluation of Cuminum cyminum L (Cumin Seeds) Using Machine Vision

Authors

  • Kavindra R Jain Electronics & Communication Engineering Department, G H Patel College of Engg & Technology
  • Chintan K Modi Electronics & Communication Engineering Department, G H Patel College of Engg & Technology
  • Jalpa J.Patel Electronics & Communication Engineering Department, Gandhinagar Institute of Technology

Keywords:

Quality control, Machine Vision, Cuminum cyminum L (Cumin Seeds), occlusion resilient, combined measurements.

Abstract

Quality evaluation of cumin seeds using machine vision technique suffer from system operational issues like occlusion or overlapping of seeds during test preparation by the operator of system. When due care is not taken by the system operator in spreading the seeds on the test tray, occlusion of the seeds occur. This severely deteriorates the system performance by dramatic change in quality value. The proposed α- trimmed mean filter based outlier rejection technique which makes the system occlusion resilient.

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Published

2011-01-01

How to Cite

Kavindra R Jain, Chintan K Modi, & Jalpa J.Patel. (2011). Occlusion Resilient Quality Evaluation of Cuminum cyminum L (Cumin Seeds) Using Machine Vision. International Journal of Computer Information Systems and Industrial Management Applications, 3, 8. Retrieved from https://cspub-ijcisim.org/index.php/ijcisim/article/view/60

Issue

Section

Original Articles