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
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;
Conference_Titel :
Systems, Process and Control (ICSPC), 2014 IEEE Conference on
Print_ISBN :
978-1-4799-6105-4
DOI :
10.1109/SPC.2014.7086251