Publication detail

An Image Processing based Identification of Fish Exposed to Polluted Water

MAUYA, R. DUTTA, M. KŘÍŽ, P. ŘÍHA, K.

Original Title

An Image Processing based Identification of Fish Exposed to Polluted Water

Type

conference paper

Language

English

Original Abstract

Water bodies are getting polluted day by day due to discharge of industrial waste, agricultural waste, waste water and other effluents which in turn causing harm to health status to living organism including fish. The proposed work used an image processing based framework to identify the fish exposed to polluted water. The proposed work segments fish gills and contributes in identification of texture features that can be used to distinguish normal fish from fish exposed to pollution. It was evident from the statistical analysis of these features that there occured changes in the texture properties of fish gill which were exposed to such pollutants.

Keywords

color and texture features; discrete wavelet transform; normal and pollution exposed fishes; statistical significance; water pollution.

Authors

MAUYA, R.; DUTTA, M.; KŘÍŽ, P.; ŘÍHA, K.

Released

25. 7. 2019

Location

Budapest, Hungary

ISBN

978-1-7281-1864-2

Book

Proceedings of the 42th International Conference on Telecommunications and Signal Processing (TSP 2019)

ISBN

1805-5435

Periodical

International Conference on Telecommunications and Signal Processing (TSP)

State

Czech Republic

Pages from

245

Pages to

248

Pages count

4

URL

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8768856&isnumber=8768805

BibTex

@inproceedings{BUT158013,
  author="Ritesh {Mauya} and Malay Kishore {Dutta} and Petr {Kříž} and Kamil {Říha}",
  title="An Image Processing based Identification of Fish Exposed to Polluted Water",
  booktitle="Proceedings of the 42th International Conference on Telecommunications and Signal Processing (TSP 2019)",
  year="2019",
  journal="International Conference on Telecommunications and Signal Processing (TSP)",
  pages="245--248",
  address="Budapest, Hungary",
  doi="10.1109/TSP.2019.8768856",
  isbn="978-1-7281-1864-2",
  issn="1805-5435",
  url="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8768856&isnumber=8768805"
}