Fruit Sorting Based on Machine Vision Technique

Authors

  • Mohd Safirin Karis Fakulti Kejuruteraan Elektrik Fakulti Kejuruteraan Elektrik, Universiti Teknikal Malaysia Melaka, Malaysia
  • Wira Hidayat Mohd Saad Fakulti Kejuruteraan Elektronik & Kejuruteraan Komputer, Universiti Teknikal Malaysia Melaka, Malaysia
  • Nursabilillah Mohd Ali Fakulti Kejuruteraan Elektrik Fakulti Kejuruteraan Elektrik, Universiti Teknikal Malaysia Melaka, Malaysia
  • Khor Chin We Fakulti Kejuruteraan Elektrik Fakulti Kejuruteraan Elektrik, Universiti Teknikal Malaysia Melaka, Malaysia
  • Nur Rafiqah Abdul Razif Fakulti Kejuruteraan Elektrik Fakulti Kejuruteraan Elektrik, Universiti Teknikal Malaysia Melaka, Malaysia
  • Asmiza Selamat
  • Amar Faiz Zainal Abidin Fakulti Kejuruteraan Elektrik, Universiti Teknologi Mara Pasir Gudang, Johor, Malaysia
  • Mohd Kasyful Azim Ahmad Fakulti Kejuruteraan Elektronik & Kejuruteraan Komputer, Universiti Teknikal Malaysia Melaka, Malaysia

Keywords:

Automation system, Image Processing, Machine Vision,

Abstract

Nowadays, most of the industries have started to use the automation system instead of manual operating system. Fruit sorting by machine vision technique is a potential automation system which is able to obtain their target in term of productivity and quality. This paper proposes the techniques to differentiate the type of apple based on size. A set of image processing algorithm is designed in order to classify the apple according to the information provided from an image. The image processing techniques such as image enhancement, morphological, image segmentation and HSV image conversion are used for the purpose of differentiating the type of apple based on size. Meanwhile, an experiment is carried out in order to determine the capability of designed image processing algorithm. There are a plenty of problems found during the experiment due to some technical error such as shadow and object surface reflection. From the errors, different methods such as HSV conversion method are used to optimize the performance of fruit classification. As short, the image processing algorithm is able to detect the size of apple

Downloads

Published

2016-07-01

How to Cite

Karis, M. S., Mohd Saad, W. H., Mohd Ali, N., Chin We, K., Abdul Razif, N. R., Selamat, A., Zainal Abidin, A. F., & Ahmad, M. K. A. (2016). Fruit Sorting Based on Machine Vision Technique. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(4), 31–35. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1167

Issue

Vol. 8 No. 4: Pioneering Future Innovation Through Green Technology II

Section

Articles

License

TRANSFER OF COPYRIGHT AGREEMENT

The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):

  1. All proprietary right other than copyright, such as patent rights
  2. The right to make further copies of all or part of the published article for my use in classroom teaching
  3. The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
  4. The right to make copies of the published work for internal distribution within the institution that employs me

I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.


Most read articles by the same author(s)