Using MATLAB image processing to monitor the health of fish in aquiculture

Xingqiao Liu*, Jiao Geng, Feng Ji, Dean Zhao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

A particular and real-time image processing application is proposed to detect pathological changes to fish. images are periodically acquired from a video source using specialized control software. Then, analog signals are converted into digital signals by image collection card. According to the theory of shrink and expand, binary image is used to eliminate impurity. After that, use the concept of area-square to find out the changes of pathological fish, that is the area of the white pixel. Thus, as long as counting out the number of white pixel and comparing with the statistical data, the condition of the fish will be immediately found out. And the processed results can be returned to control software and displayed in real time.

Original languageEnglish
Title of host publicationProceedings of the 27th Chinese Control Conference, CCC
Pages677-680
Number of pages4
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event27th Chinese Control Conference, CCC - Kunming, Yunnan, China
Duration: 16 Jul 200818 Jul 2008

Publication series

NameProceedings of the 27th Chinese Control Conference, CCC

Conference

Conference27th Chinese Control Conference, CCC
Country/TerritoryChina
CityKunming, Yunnan
Period16/07/0818/07/08

Keywords

  • Aquiculture
  • Image processing
  • MATLAB
  • Monitor

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