Feature Extraction and Classification Algorithm for Rubber Tree Leaf - Anjomshoae, Sule T.;Bin Mohd Rahim, Mohd Shafry
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Rubber is one of the major sources of national income in Malaysia. Malaysian Rubber Board (MRB) is responsible for monitoring the quality of rubber to maintain a successful breeding program. One of the important factors that affect the quality of raw rubber is the clonal origin of the tree. In current practice, clone inspectors verify the clone type manually using leaf features. An automated clone classification system is needed to facilitate the inspection process. There are several features of rubber tree leaf to differentiate clone types including leaf tip, leaf base, the form of the leaf,…mehr

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Produktbeschreibung
Rubber is one of the major sources of national income in Malaysia. Malaysian Rubber Board (MRB) is responsible for monitoring the quality of rubber to maintain a successful breeding program. One of the important factors that affect the quality of raw rubber is the clonal origin of the tree. In current practice, clone inspectors verify the clone type manually using leaf features. An automated clone classification system is needed to facilitate the inspection process. There are several features of rubber tree leaf to differentiate clone types including leaf tip, leaf base, the form of the leaf, and leaf margin. This book provides an in-depth look at these features and it explores several feature extraction methods to analyze the effectiveness of these methods.
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Autorenporträt
Sule Anjomshoae received her M.Sc. degree in Computer Science from University Technology Malaysia (2014). Her research interest includes image analysis and image processing.Mohd Shafry Bin Mohd Rahim is a senior lecturer in Faculty of Computing, University Technology Malaysia. Her research interest includes computer graphics and image processing.