Malaysian medicinal plant leaf shape identification and classification
Malaysian medicinal plants may be abundant natural resources but there has not been much research done on preserving the knowledge of these medicinal plants which enables general public to know the leaf using computing capability.This study proposes a framework to identify and classify tropical m...
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| 主要な著者: | , , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English |
| 出版事項: |
2014
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| 主題: | |
| オンライン･アクセス: | http://repo.uum.edu.my/12429/1/rie%281%29.pdf http://repo.uum.edu.my/12429/ http://www.kmice.cms.net.my |
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| 要約: | Malaysian medicinal plants may be abundant
natural resources but there has not been much
research done on preserving the knowledge of these medicinal plants which enables general public to know the leaf using computing capability.This study proposes a framework to
identify and classify tropical medicinal plants in Malaysia based the extracted patterns from the leaf.The extracted patterns from medicinal plant leaf are obtained based on several angle features.Five classifiers,
obtained from WEKA and an ensemble classifier,
called Direct Ensemble Classifier for Imbalanced Multiclass Learning (DECIML), are used to compare their performance accuracies over this data.In this experiment, five species of Malaysian medicinal plants are identified and classified in which each species will be represented by using 65
images.This study is important in order to assist local community to utilize the knowledge discovery and application of Malaysian medicinal plants for future generation. |
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