An Automatic Detection and Counting Method for Fish Lateral Line Scales of Underwater Fish Based on Improved YOLOv5-Reference-Cited by-同舟云学术

An Automatic Detection and Counting Method for Fish Lateral Line Scales of Underwater Fish Based on Improved YOLOv5

Published:2023 Issue: Volume:11 Page:143616-143627
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Yu Huihui¹^ORCID,Wang Zimao²,Qin Hanxiang²,Chen Yingyi²^ORCID

Affiliation:

1. School of Information Science and Technology, Beijing Forestry University, Beijing, China

2. National Innovation Center for Digital Fishery, Beijing, China

Funder

National Natural Science Foundation of China “Intelligent Identification Method of Underwater Fish Morphological Characteristics Based on Binocular Vision”

Beijing Digital Agriculture Innovation Consortium Project

National Natural Science Foundation of China “Analysis and Feature Recognition on Feeding Behavior of Fish School in Facility Farming Based on Machine Vision”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10360813.pdf?arnumber=10360813

Reference31 articles.

1. Variations in structure of the lateral-line canal on scales of teleostean fishes

2. Coping with flow: behavior, neurophysiology and modeling of the fish lateral line system

3. New Interpretation of the 3-D Configuration of Lateral Line Scales and the Lateral Line Canal Contained within Them

4. Distinguishing Centrarchid Genera by Use of Lateral Line Scales

5. Automatic length estimation of free-swimming fish using an underwater 3D range-gated camera

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