Starfruit classification based on linear hue computation

In this paper, a classification process to group starfruit into six maturity indices is proposed based on 1- dimensional color feature called hue, which is extracted from the starfruit image. As the original hue is quantified from the nonlinear transformation of the 3-dimensional Red, Green and Blue...

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Main Authors: Mokji, M. M., Abu Bakar, S. A. R.
Format: Article
Language:English
Published: Faculty of Electrical Engineering 2007
Subjects:
Online Access:http://eprints.utm.my/8081/
http://eprints.utm.my/8081/1/MMMokji2007_Starfruit_classification_based_on_linear.pdf
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author Mokji, M. M.
Abu Bakar, S. A. R.
author_facet Mokji, M. M.
Abu Bakar, S. A. R.
author_sort Mokji, M. M.
building UTeM Institutional Repository
collection Online Access
description In this paper, a classification process to group starfruit into six maturity indices is proposed based on 1- dimensional color feature called hue, which is extracted from the starfruit image. As the original hue is quantified from the nonlinear transformation of the 3-dimensional Red, Green and Blue color, this paper proposes a linear hue transformation computation based on the 2 colors of Red and Green. The proposed hue computation leads to a reduced computational burden, less computational complexity and better class discriminant capability. The hue is then applied as the input for the maturity classification process. The classification process is based on the hypothesis that for each of the maturity index, certain area of the starfruit surface is supposed to have distinctive value of the hue. In this work, the said starfruit surface area is set as 70% of the total area and based on 600 samples, the proposed technique results in 93% classification accuracy.
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spelling utm-80812010-06-02T01:51:22Z http://eprints.utm.my/8081/ Starfruit classification based on linear hue computation Mokji, M. M. Abu Bakar, S. A. R. TK Electrical engineering. Electronics Nuclear engineering In this paper, a classification process to group starfruit into six maturity indices is proposed based on 1- dimensional color feature called hue, which is extracted from the starfruit image. As the original hue is quantified from the nonlinear transformation of the 3-dimensional Red, Green and Blue color, this paper proposes a linear hue transformation computation based on the 2 colors of Red and Green. The proposed hue computation leads to a reduced computational burden, less computational complexity and better class discriminant capability. The hue is then applied as the input for the maturity classification process. The classification process is based on the hypothesis that for each of the maturity index, certain area of the starfruit surface is supposed to have distinctive value of the hue. In this work, the said starfruit surface area is set as 70% of the total area and based on 600 samples, the proposed technique results in 93% classification accuracy. Faculty of Electrical Engineering 2007 Article PeerReviewed application/pdf en http://eprints.utm.my/8081/1/MMMokji2007_Starfruit_classification_based_on_linear.pdf Mokji, M. M. and Abu Bakar, S. A. R. (2007) Starfruit classification based on linear hue computation. Elektrika, 9 (2). pp. 14-19. ISSN 0128-4428 http://portal.psz.utm.my/psz/index.php?option=com_content&task=view&id=128&Itemid=305&PHPSESSID=7300e2779d93ea9f1bf702614ffa203c
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mokji, M. M.
Abu Bakar, S. A. R.
Starfruit classification based on linear hue computation
title Starfruit classification based on linear hue computation
title_full Starfruit classification based on linear hue computation
title_fullStr Starfruit classification based on linear hue computation
title_full_unstemmed Starfruit classification based on linear hue computation
title_short Starfruit classification based on linear hue computation
title_sort starfruit classification based on linear hue computation
topic TK Electrical engineering. Electronics Nuclear engineering
url http://eprints.utm.my/8081/
http://eprints.utm.my/8081/
http://eprints.utm.my/8081/1/MMMokji2007_Starfruit_classification_based_on_linear.pdf