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Bio-inspired vision fusion for quality assessment of harumanis mangoes

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Main Authors: Fathinul Syahir, Ahmad Sa'ad, Ali Yeon, Md Shakaff, Prof. Dr., Ammar, Zakaria, Mohd Zulkifly, Abdullah, Dr., Abdul Hamid, Adom, Prof. Dr
Other Authors: fathinul@unimap.edu.my
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2013
Subjects:
Automated inspection
Fourier descriptor
Grading system
Harumanis mango
Machine vision
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/26782
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spelling my.unimap-267822013-07-17T05:20:08Z Bio-inspired vision fusion for quality assessment of harumanis mangoes Fathinul Syahir, Ahmad Sa'ad Ali Yeon, Md Shakaff, Prof. Dr. Ammar, Zakaria Mohd Zulkifly, Abdullah, Dr. Abdul Hamid, Adom, Prof. Dr fathinul@unimap.edu.my aliyeon@unimap.edu.my ammarzakaria@unimap.edu.my mezul@eng.usm.my abdhamid@unimap.edu.my Automated inspection Fourier descriptor Grading system Harumanis mango Machine vision Link to publisher's homepage at http://ieeexplore.ieee.org The perceived quality of fruits, such as mangoes, is greatly dependent on many parameters such as ripeness, aroma, firmness, shape, size, and is influenced by other factors such as harvesting time. Unfortunately, a manual fruit grading has several drawbacks such as subjectivity, tediousness and inconsistency. By automating the procedure, as well as developing new classification technique, it may solve these problems. This paper presents the novel work on the bio-inspired multi-modality sensing system for classification and quality assessment of mangoes cv. Harumanis Mango using charge coupled device (CCD) camera and Infrared (IR) camera. A Fourier-based shape separation method was developed from CCD camera images to grade mango by its shape and able to correctly classify 100%. Colour intensity from infrared image was used to distinguish and classify the level of maturity and ripeness of the fruits. The finding shows 92% correct classification of maturity levels by using infrared vision 2013-07-17T05:20:08Z 2013-07-17T05:20:08Z 2012-02-08 Working Paper p. 317-324 978-076954668-1 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6169721 http://hdl.handle.net/123456789/26782 en Proceedings of the International Conference on Intelligent Systems Modelling and Simulation (ISMS 2012) Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Automated inspection
Fourier descriptor
Grading system
Harumanis mango
Machine vision
spellingShingle Automated inspection
Fourier descriptor
Grading system
Harumanis mango
Machine vision
Fathinul Syahir, Ahmad Sa'ad
Ali Yeon, Md Shakaff, Prof. Dr.
Ammar, Zakaria
Mohd Zulkifly, Abdullah, Dr.
Abdul Hamid, Adom, Prof. Dr
Bio-inspired vision fusion for quality assessment of harumanis mangoes
description Link to publisher's homepage at http://ieeexplore.ieee.org
author2 fathinul@unimap.edu.my
author_facet fathinul@unimap.edu.my
Fathinul Syahir, Ahmad Sa'ad
Ali Yeon, Md Shakaff, Prof. Dr.
Ammar, Zakaria
Mohd Zulkifly, Abdullah, Dr.
Abdul Hamid, Adom, Prof. Dr
format Working Paper
author Fathinul Syahir, Ahmad Sa'ad
Ali Yeon, Md Shakaff, Prof. Dr.
Ammar, Zakaria
Mohd Zulkifly, Abdullah, Dr.
Abdul Hamid, Adom, Prof. Dr
author_sort Fathinul Syahir, Ahmad Sa'ad
title Bio-inspired vision fusion for quality assessment of harumanis mangoes
title_short Bio-inspired vision fusion for quality assessment of harumanis mangoes
title_full Bio-inspired vision fusion for quality assessment of harumanis mangoes
title_fullStr Bio-inspired vision fusion for quality assessment of harumanis mangoes
title_full_unstemmed Bio-inspired vision fusion for quality assessment of harumanis mangoes
title_sort bio-inspired vision fusion for quality assessment of harumanis mangoes
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2013
url http://dspace.unimap.edu.my/xmlui/handle/123456789/26782
_version_ 1643795054446247936
score 13.222552

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