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

References

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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

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