Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48799
Title: Image Processing Based Method For Identification Of Fish Freshness Using Skin Tissue
Authors: Sengar, Namita
Gupta, Varun
Dutta, Malay Kishore
Travieso, Carlos M. 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
Keywords: Quality
Fish Freshness
Skin Tissue
Image Processing
Issue Date: 2018
Journal: International Conference on "Computational Intelligence and Communication Technology", CICT 2018
Conference: 4th International Conference on "Computational Intelligence and Communication Technology", CICT 2018 
Abstract: 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
Source: International Conference on "Computational Intelligence and Communication Technology", CICT 2018 (8480265)
Appears in Collections:Actas de congresos
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