Orchid leaf disease detection using border segmentation techniques

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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Published in:Proceedings - 2014 IEEE Conference on System, Process and Control, ICSPC 2014
Main Author: 2-s2.0-84949925661
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949925661&doi=10.1109%2fSPC.2014.7086251&partnerID=40&md5=9c736e9ae2e863b244e1c0251d60135e
id Fadzil W.M.N.W.M.; Rizam M.S.B.S.; Jailani R.; Nooritawati M.T.
spelling Fadzil W.M.N.W.M.; Rizam M.S.B.S.; Jailani R.; Nooritawati M.T.
2-s2.0-84949925661
Orchid leaf disease detection using border segmentation techniques
2014
Proceedings - 2014 IEEE Conference on System, Process and Control, ICSPC 2014


10.1109/SPC.2014.7086251
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949925661&doi=10.1109%2fSPC.2014.7086251&partnerID=40&md5=9c736e9ae2e863b244e1c0251d60135e
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.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper
author 2-s2.0-84949925661
spellingShingle 2-s2.0-84949925661
Orchid leaf disease detection using border segmentation techniques
author_facet 2-s2.0-84949925661
author_sort 2-s2.0-84949925661
title Orchid leaf disease detection using border segmentation techniques
title_short Orchid leaf disease detection using border segmentation techniques
title_full Orchid leaf disease detection using border segmentation techniques
title_fullStr Orchid leaf disease detection using border segmentation techniques
title_full_unstemmed Orchid leaf disease detection using border segmentation techniques
title_sort Orchid leaf disease detection using border segmentation techniques
publishDate 2014
container_title Proceedings - 2014 IEEE Conference on System, Process and Control, ICSPC 2014
container_volume
container_issue
doi_str_mv 10.1109/SPC.2014.7086251
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949925661&doi=10.1109%2fSPC.2014.7086251&partnerID=40&md5=9c736e9ae2e863b244e1c0251d60135e
description 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.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
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