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Mathematical modeling for contour identification based on medicinal leaves and GIS images

Chua, Lee Suan and Alias, Norma and Januari, Ristian and Mustaffa, Maizatul Nadirah and Ali, Akhtar and Ahmad Kamal, Mohamad Hidayad and Hayat, Imran (2016) Mathematical modeling for contour identification based on medicinal leaves and GIS images. Journal Teknologi, 78 (12-2). pp. 49-55. ISSN 0127-9696

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Abstract

In this paper, the identification of contour medicinal leaves and GIS images has been determined. The purposes of the Geodesic Active Contour-Additive Operating Splitting (GAC-AOS) modelling are to identify an unknown type of medicinal leaves and edge detection of our images. Besides, three iterative methods such as SOR, RBGS and Jacobi method are used to solve the linear system of equations. In the implementation of the GAC-the AOS model, the experimental result demonstrates that the SOR method gives the best performance compared to the other two methods. The computation platform is based on Intel® CoreTM Duo Processor Architecture with MATLAB version R2011a. The performance analysis is based on the iteration numbers, execution time, accuracy and RMSE.

Item Type:Article
Additional Information:RADIS System Ref No:PB/2017/12115
Uncontrolled Keywords:medicinal leaves, GIS images
Subjects:Q Science
T Technology > TP Chemical technology
Divisions:Chemical Engineering
ID Code:66818
Deposited By: Fazli Masari
Deposited On:28 Nov 2017 13:01
Last Modified:28 Nov 2017 13:01

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