Individual Weight Estimation of Cynoglossus-gracilis Based on Measurement of Irregular Image Area
- 10.2991/ismems-16.2016.22How to use a DOI?
- : Aquaculture, Image processing, Area measurement
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
- © 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/).
Cite this article
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 -