Zhejiang University

Xiaofeng Qi

Jian Zhao

Songming Zhu

Zhangying Ye

Ying Liu

Feixiang Zhu

Haijun Li

Ruiji Mahe

A method and system for fish identification based on body surface texture features and geometric features are provided. The method employs an improved Resnet network and a deep learning Yolov8 network to extract body surface texture features and geometric features of a fish on the basis of considering influences of fish tail swing and an oxygen concentration on a fish body form based on a small sample learning framework, and then realizes identity recognition of a fish individual by coupled analysis of the body surface texture features and the geometric features. The method can realize high-accuracy fish identification with few training samples of a fish to be identified from the perspective of actual application, provides theoretical basis and technical support for accurate fish stock assessment and accurate estimation of industrially farmed fish biomass, and meets the development requirements of modern agriculture.

Method and system for fish identification based on body surface texture features and geometric features

Growing community of inventors

Hangzhou, China

Xiaofeng Qi