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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 32, Number 11(1) (2020)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 3595-3606
S&M2361 Research Paper of Special Issue https://doi.org/10.18494/SAM.2020.2892 Published: November 10, 2020 Method for Measuring Length of Free-swimming Farmed Fry by 3D Monitoring [PDF] Koji Abe, Koki Miyake, and Hitoshi Habe (Received March 31, 2020; Accepted June 2, 2020) Keywords: image processing, 3D monitoring, stereo camera, direct linear transformation, aquaculture
To monitor the continuous growth of farmed fry, we present an automated method for measuring the length of free-swimming fry in a small aquarium. The proposed method detects the frame where a swimming fish appears for the measurement in a movie and estimates the locations of its snout and caudal fin base from its shape characteristics. The length is measured as the distance between these two points in 3D space, whose 3D coordinates are obtained by the method of direct linear transformation. The performance of the proposed method was examined by applying it to 10 fish in each of six species, and the standard deviation of the error rates was less than 5%. In the best case, the mean value and standard deviation of the error rates were 6.6 and 1.7%, respectively.
Corresponding author: Koji Abe  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Koji Abe, Koki Miyake, and Hitoshi Habe, Method for Measuring Length of Free-swimming Farmed Fry by 3D Monitoring, Sens. Mater., Vol. 32, No. 11, 2020, p. 3595-3606. |
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