Detail publikace

An Image Processing based Identification of Fish Exposed to Polluted Water

MAUYA, R. DUTTA, M. KŘÍŽ, P. ŘÍHA, K.

Originální název

An Image Processing based Identification of Fish Exposed to Polluted Water

Anglický název

An Image Processing based Identification of Fish Exposed to Polluted Water

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

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",
  annote="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.",
  booktitle="Proceedings of the 42th International Conference on Telecommunications and Signal Processing (TSP 2019)",
  chapter="158013",
  doi="10.1109/TSP.2019.8768856",
  howpublished="online",
  year="2019",
  month="july",
  pages="245--248",
  type="conference paper"
}