An image classifier for underwater fish detection using classification tree-artificial neural network hybrid

• Main Authors: Almero, Vincent Jan D., De La Salle University, Manila, Sybingco, Edwin, Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2020
• Subjects: Fishes—Detection; Neural networks (Computer science); Fishes—Classification; Computer vision; Electrical and Computer Engineering; Electrical and Electronics; Systems and Communications
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1826; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2825/type/native/viewcontent
• Institution: De La Salle University

Fish detection using imaging technologies and computer vision systems is considered as an effective tool in fish monitoring for increasing the production to satisfy future global demands. This persistent tasks, with image classification as one of its subtasks, encounters challenges due to the comple...