An aquaculture-based binary classifier for fish detection using multilayer artificial neural network

• Main Authors: Almero, Vincent Jan, Concepcion, Ronnie, Rosales, Marife, Vicerra, Ryan Rhay P., Bandala, Argel A., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2019
• Subjects: Fishes—Detection; Fishes—Classification; Computer vision; Neural networks (Computer science); Manufacturing
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1827; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2826/type/native/viewcontent
• Institution: De La Salle University

Fish detection, a specific task in computer vision system for fish monitoring, is challenging due to the complex characteristics of the captured images. A proposed approach in tackling this challenging task was to incorporate a multilayer artificial neural network to a computer vision system algorit...