The Measurement of Fish Size by Machine Vision - A Review

Abstract : Aquatic products are becoming increasingly popular because of their high nutritional value. Size information is an important parameter that can be used to measure the growth, weight, gender, grading and even species identification of fish. However, size information is a highly tedious and inefficient measure when conducted manually through traditional methods. Machine vision is a non-destructive, economic, rapid and efficient tool; hence, it is suitable to measure fish size. This review introduced methods and results for fish size measurement through machine vision. The paper is organised according to the measurement of body dimensionality: length measurement and area measurement. Simultaneously, the advantages, disadvantages and future trends of the system are discussed. With development in those areas, the size measurement by machine vision technology will become more effective. Machine vision system brings high accuracy and high efficiency and is easier than manual work. The methods reported can help researchers and farmers bring benefits for aquaculture.
Document type :
Conference papers
Complete list of metadatas

Cited literature [62 references]  Display  Hide  Download

https://hal.inria.fr/hal-01614170
Contributor : Hal Ifip <>
Submitted on : Tuesday, October 10, 2017 - 3:41:44 PM
Last modification on : Tuesday, October 10, 2017 - 3:54:22 PM
Long-term archiving on : Thursday, January 11, 2018 - 1:27:36 PM

File

434298_1_En_2_Chapter.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Mingming Hao, Helong Yu, Daoliang Li. The Measurement of Fish Size by Machine Vision - A Review. 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. pp.15-32, ⟨10.1007/978-3-319-48354-2_2⟩. ⟨hal-01614170⟩

Share

Metrics

Record views

148

Files downloads

319