The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 25, 2025

Filed:

Oct. 29, 2024
Applicant:

Zhejiang University, Hangzhou, CN;

Inventors:

Jian Zhao, Hangzhou, CN;

Feixiang Zhu, Hangzhou, CN;

Haijun Li, Hangzhou, CN;

Xiaofeng Qi, Hangzhou, CN;

Ruiji Mahe, Hangzhou, CN;

Zhangying Ye, Hangzhou, CN;

Songming Zhu, Hangzhou, CN;

Ying Liu, Hangzhou, CN;

Assignee:

Zhejiang University, Hangzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 7/40 (2017.01); G06T 7/62 (2017.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06V 20/05 (2022.01); G06V 40/10 (2022.01);
U.S. Cl.
CPC ...
G06V 40/10 (2022.01); G06T 7/40 (2013.01); G06T 7/62 (2017.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06V 20/05 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

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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