Optimized threshold based EM Fusion Technique for Shrimp White Spot Disease Detection

Abstract

Shrimp farming is the most profitable business of aquaculture farming. If a single shrimp gets affected by a disease, then the disease will spread within no time. Thus, shrimp diseases are considered as the primary cause of huge economic loss throughout the world. There is necessity of a new and efficient shrimp disease detection system. White spot syndrome virus is a special kind of pathogen which causes white spot disease in shrimps. This virus can affect both shrimp as well as other crustaceans. There is no proper treatment technique to cure different viral infections in shrimp and crustaceans. Most of the shrimp disease detection systems follow the basic concepts of image segmentation process and image fusion process. The process of image segmentation plays a vital role in shrimp disease detection like characteristic extraction, pattern detection and target recognition. In this paper, a novel threshold-based image blend method is projected to improve the white spot detection rate with high accuracy.