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http://hdl.handle.net/10553/48799
Título: | Image Processing Based Method For Identification Of Fish Freshness Using Skin Tissue | Autores/as: | Sengar, Namita Gupta, Varun Dutta, Malay Kishore Travieso, Carlos M. |
Clasificación UNESCO: | 220990 Tratamiento digital. Imágenes | Palabras clave: | Quality Fish Freshness Skin Tissue Image Processing |
Fecha de publicación: | 2018 | Publicación seriada: | International Conference on "Computational Intelligence and Communication Technology", CICT 2018 | Conferencia: | 4th International Conference on "Computational Intelligence and Communication Technology", CICT 2018 | Resumen: | The quality of the fish is mainly altered by different cooling methods, exporting, handling etc. In this paper a non-destructive framework is proposed for identification of fish freshness using image processing techniques. In this paper skin tissue is selected as focal tissue for basic analysis and identification of freshness of fish from fish images. Statistical features are extracted in the HSV color space which gives degradation pattern for fish freshness which is used to design the framework for identification of fish freshness. The experiment result indicates monotonic degradation pattern. Experiments were carried on fish images and results are encouraging. The maximum classification accuracy of contributed methodology is 96.66%. | URI: | http://hdl.handle.net/10553/48799 | ISBN: | 9781538608869 | DOI: | 10.1109/CIACT.2018.8480265 | Fuente: | International Conference on "Computational Intelligence and Communication Technology", CICT 2018 (8480265) |
Colección: | Actas de congresos |
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