期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：9
出版社：S.S. Mishra
摘要：O ne of the most serious problems confronted by the shrimp farming industry is the disease caused by white spot syndrome virus (WSSV). This paper describes the detection of white spot syndrome virus in shrimp ( Penaeid prawn) by using K-Means clustering technique in image processing. There are so many methods for finding out wssv in aqua culture methods in that Highly sensitive capacitive biosensor is one , that uses wssv shrimp pond water and mixes glutathione-S-transferase tag for white spot binding protein (GST-WBP) was immobilized on a gold electrode through a self-assembled monolayer. Binding between WSSV and the immobilized GST-WBP was directly detected by a capacitance measurement. Under optimum conditions the capacitive bio sensor gives the detections in the shrimp species. This process is time consuming. By using image segmentation techniques we can get accurate results and its cost is also less and is very fast compared to other techniques. The proposed method consists of capturing image sensing technique followed by image acquisition, histogram and K-Means clustering methods
