Vision-based egg grade classifier

Mohd Zin Zalhan, Sameon Sera Syarmila, Ismail Mohd Nazri, Ismail Mohd Taha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Digital image processing techniques (DIP) have been widely used in various types of application recently. A variety of these techniques are now being used in many types of application area such as object classification, intelligent system, robotics, biometrics system, medical visualization, military, law enforcement, image enhancement and restoration, industrial inspection, artistic effect and human computer interfaces. This paper proposes the implementation of digital image processing techniques to classify three different categories of commercial eggs. The proposed system consists of the study on different types and sizes of commercial eggs, real size measurement of these eggs using Coordinate Measure Machine (CMM) and camera, classification algorithm and the development of vision based egg classification system. Image processing techniques such as image filtering and image enhancements have been applied in the system. Results have shown that the proposed system has been able to successfully classify three categories of commercial eggs with accuracy of more than 96%.

Original languageEnglish
Title of host publicationICICTM 2016 - Proceedings of the 1st International Conference on Information and Communication Technology
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages31-35
Number of pages5
ISBN (Electronic)9781509004126
DOIs
Publication statusPublished - 30 Mar 2017
Event1st International Conference on Information and Communication Technology, ICICTM 2016 - Kuala Lumpur, Malaysia
Duration: 16 May 201617 May 2016

Publication series

NameICICTM 2016 - Proceedings of the 1st International Conference on Information and Communication Technology

Other

Other1st International Conference on Information and Communication Technology, ICICTM 2016
CountryMalaysia
CityKuala Lumpur
Period16/05/1617/05/16

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Artificial Intelligence
  • Computer Networks and Communications

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  • Cite this

    Zalhan, M. Z., Sera Syarmila, S., Mohd Nazri, I., & Mohd Taha, I. (2017). Vision-based egg grade classifier. In ICICTM 2016 - Proceedings of the 1st International Conference on Information and Communication Technology (pp. 31-35). [7890772] (ICICTM 2016 - Proceedings of the 1st International Conference on Information and Communication Technology). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICICTM.2016.7890772