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

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United States of America

PATENT NO 12236703
SERIAL NO

18930296

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Abstract

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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.

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Patent Owner(s)

  • ZHEJIANG UNIVERSITY

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Li, Haijun Hangzhou, CN 52 376
Liu, Ying Hangzhou, CN 647 4068
Mahe, Ruiji Hangzhou, CN 1 0
Qi, Xiaofeng Hangzhou, CN 2 0
Ye, Zhangying Hangzhou, CN 3 5
Zhao, Jian Hangzhou, CN 422 5285
Zhu, Feixiang Hangzhou, CN 6 20
Zhu, Songming Hangzhou, CN 3 5

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