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...

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书目详细资料
发表在:Proceedings - 2014 IEEE Conference on System, Process and Control, ICSPC 2014
主要作者: 2-s2.0-84949925661
格式: Conference paper
语言:English
出版: Institute of Electrical and Electronics Engineers Inc. 2014
在线阅读:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949925661&doi=10.1109%2fSPC.2014.7086251&partnerID=40&md5=9c736e9ae2e863b244e1c0251d60135e
实物特征
总结: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.
ISSN:
DOI:10.1109/SPC.2014.7086251