ROV-based Underwater Vision System for Intelligent Fish Ethology Research. (13th September 2013)

• Record Type: Journal Article
• Authors: Nian, Rui; He, Bo; Yu, Jia; Bao, Zhenmin; Wang, Yangfan
• Is Part Of: International journal of advanced robotic systems. Volume 10:Number 9(2013)
• Publication Date: 2013-09-13
• Subjects: Fish Ethology -- ROV -- Underwater Vision System -- Image Enhancement -- Curve Evolution -- Particle Filtering; Robotics -- Periodicals; Robotics; Periodicals; 629.892
• DOI: 10.5772/56800
• Languages: English
• ISSNs: 1729-8806

Abstract

Fish ethology is a prospective discipline for ocean surveys. In this paper, one ROV-based system is established to perform underwater visual tasks with customized optical sensors installed. One image quality enhancement method is first presented in the context of creating underwater imaging models combined with homomorphic filtering and wavelet decomposition. The underwater vision system can further detect and track swimming fish from the resulting images with the strategies developed using curve evolution and particular filtering, in order to obtain a deeper understanding of fish behaviours. The simulation results have shown the excellent performance of the developed scheme, in regard to both robustness and effectiveness.