Individual Weight Estimation of Cynoglossus-gracilis Based on Measurement of Irregular Image Area

DOI

10.2991/ismems-16.2016.22How to use a DOI?

Keywords

: Aquaculture, Image processing, Area measurement

Abstract

For aquaculture, the classification of live fish and the deconcentrition of fish into more ponds are very important process. Non-contact and no-harm are always the target of this process. Using the technology of digital image processing, the binary irregular image of Cynoglossus Gracilis is got and measurement; we analyze the relationship between the weight of fish and flat surface area by a linear regression model. The experimental results show that two parameters has a certain linear relationship, the correlation coefficient is 0.3807(R2=0.1450). Further research is needed to account for the effects of different growth stages of Cynoglossus gracilis body thickness and other factors, a more accurate model to identify the relationship between the two parameters, to provide support for the non-contact measurement of weight and classification

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guoqiang Ma
AU  - Yunchen Tian
AU  - Xiaolan Lin
PY  - 2016/12
DA  - 2016/12
TI  - Individual Weight Estimation of Cynoglossus-gracilis Based on Measurement of Irregular Image Area
BT  - Proceedings of the International Symposium on Mechanical Engineering and Material Science
PB  - Atlantis Press
SP  - 123
EP  - 127
SN  - 2352-5401
UR  - https://doi.org/10.2991/ismems-16.2016.22
DO  - 10.2991/ismems-16.2016.22
ID  - Ma2016/12
ER  -