Entropy | |
Application of Entropy and Fractal Dimension Analyses to the Pattern Recognition of Contaminated Fish Responses in Aquaculture | |
Harkaitz Eguiraun2  Karmele López-de-Ipi༚1  | |
[1] Department of Systems Engineering and Automatics, University of the Basque Country UPV/EHU, Donostia 20018 |
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关键词: entropy; fractal dimension; nonlinear analysis; image analysis; clustering; optical flow; pattern recognition; seafood safety; fish welfare; intelligent methods; environmental monitoring; aquaculture; | |
DOI : 10.3390/e16116133 | |
来源: mdpi | |
【 摘 要 】
The objective of the work was to develop a non-invasive methodology for image acquisition, processing and nonlinear trajectory analysis of the collective fish response to a stochastic event. Object detection and motion estimation were performed by an optical flow algorithm in order to detect moving fish and simultaneously eliminate background, noise and artifacts. The Entropy and the Fractal Dimension (FD) of the trajectory followed by the centroids of the groups of fish were calculated using Shannon and permutation Entropy and the Katz, Higuchi and Katz-Castiglioni’s FD algorithms respectively. The methodology was tested on three case groups of European sea bass (
【 授权许可】
CC BY
© 2014 by the authors; licensee MDPI, Basel, Switzerland
【 预 览 】
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RO202003190019377ZK.pdf | 3076KB | download |