Orchid leaf disease detection using border segmentation techniques
Nowadays, it is hard to distinguish the type of orchid leaf diseases just by using naked eyes. This paper presents an image segmentation technique for classify two difference types of orchid leaf disease such as black leaf spot and sun scorch. The orchid leaves images were digitally captured by usin...
| 出版年: | Proceedings - 2014 IEEE Conference on System, Process and Control, ICSPC 2014 |
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| 第一著者: | |
| フォーマット: | Conference paper |
| 言語: | English |
| 出版事項: |
Institute of Electrical and Electronics Engineers Inc.
2014
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| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949925661&doi=10.1109%2fSPC.2014.7086251&partnerID=40&md5=9c736e9ae2e863b244e1c0251d60135e |
| 要約: | Nowadays, it is hard to distinguish the type of orchid leaf diseases just by using naked eyes. This paper presents an image segmentation technique for classify two difference types of orchid leaf disease such as black leaf spot and sun scorch. The orchid leaves images were digitally captured by using digital camera. With respect to the region of interest selected orchid leaves are analyze by using border segmentation techniques using MATLAB. In this paper, filtering technique and morphological processing technique will be applied to the images. The graphical user interface has been developed to automatically classify orchid diseases. The system has potential as early detection system for classify orchid diseases. © 2014 IEEE. |
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| ISSN: | |
| DOI: | 10.1109/SPC.2014.7086251 |