Mathematical modeling for contour identification based on medicinal leaves and GIS images
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 iterativ...
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my.utm.668182017-11-28T05:01:10Z http://eprints.utm.my/id/eprint/66818/ Mathematical modeling for contour identification based on medicinal leaves and GIS images Chua, Lee Suan Alias, Norma Januari, Ristian Mustaffa, Maizatul Nadirah Ali, Akhtar Ahmad Kamal, Mohamad Hidayad Hayat, Imran Q Science TP Chemical technology 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. Penerbit UTM Press 2016-01-11 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/66818/1/NormaAlias2016_MathematicalModelingforContourIdentification.pdf 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 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006035824&doi=10.11113%2fjt.v78.10142&partnerID=40&md5=7982fc7029d558a99398d513f8d160ac |
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Q Science TP Chemical technology Chua, Lee Suan Alias, Norma Januari, Ristian Mustaffa, Maizatul Nadirah Ali, Akhtar Ahmad Kamal, Mohamad Hidayad Hayat, Imran Mathematical modeling for contour identification based on medicinal leaves and GIS images |
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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. |
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Article |
author |
Chua, Lee Suan Alias, Norma Januari, Ristian Mustaffa, Maizatul Nadirah Ali, Akhtar Ahmad Kamal, Mohamad Hidayad Hayat, Imran |
author_facet |
Chua, Lee Suan Alias, Norma Januari, Ristian Mustaffa, Maizatul Nadirah Ali, Akhtar Ahmad Kamal, Mohamad Hidayad Hayat, Imran |
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Chua, Lee Suan |
title |
Mathematical modeling for contour identification based on medicinal leaves and GIS images |
title_short |
Mathematical modeling for contour identification based on medicinal leaves and GIS images |
title_full |
Mathematical modeling for contour identification based on medicinal leaves and GIS images |
title_fullStr |
Mathematical modeling for contour identification based on medicinal leaves and GIS images |
title_full_unstemmed |
Mathematical modeling for contour identification based on medicinal leaves and GIS images |
title_sort |
mathematical modeling for contour identification based on medicinal leaves and gis images |
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Penerbit UTM Press |
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2016 |
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http://eprints.utm.my/id/eprint/66818/1/NormaAlias2016_MathematicalModelingforContourIdentification.pdf http://eprints.utm.my/id/eprint/66818/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006035824&doi=10.11113%2fjt.v78.10142&partnerID=40&md5=7982fc7029d558a99398d513f8d160ac |
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