DocumentCode
3585994
Title
Orchid leaf disease detection using border segmentation techniques
Author
Wan Mohd Fadzil, W.M.N. ; Shah Rizam, M.S.B. ; Jailani, R. ; Nooritawati, M.T.
Author_Institution
Fac. of Electr. Eng., Univ. Teknol. MARA Shah Alam, Shah Alam, Malaysia
fYear
2014
Firstpage
168
Lastpage
173
Abstract
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.
Keywords
botany; filtering theory; image segmentation; mathematics computing; plant diseases; MATLAB; black leaf spot; border segmentation techniques; filtering technique; image segmentation; morphological processing technique; naked eyes; orchid leaf disease detection; sun scorch; Conferences; Control systems; Diseases; Image edge detection; Image segmentation; Process control; Sun; black leaf spot; image segmentation; morphological techniques; sun scorch;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Process and Control (ICSPC), 2014 IEEE Conference on
Print_ISBN
978-1-4799-6105-4
Type
conf
DOI
10.1109/SPC.2014.7086251
Filename
7086251
Link To Document