عنوان انگلیسی مقاله:
Computer vision based method for quality and freshness check for fish from segmented gills
ترجمه فارسی عنوان مقاله:
روش بینایی مبتنی بر ماشین برای بررسی کیفیت و تازگی ماهی از طریق قطعه قطعه کردن آبشش
Sciencedirect - Elsevier - Computers and Electronics in Agriculture, 139 (2017) 10-21. doi:10.1016/j.compag.2017.05.006
Ashish Issac, Malay Kishore Dutta, Biplab Sarkar
The quality and freshness of a fish sample is principally hampered in the post-harvested phase due to storage, handling and processing. The quality of the sample may degrade as the days pass till it finally reaches the consumers. The quality of a post harvested fish is determined mainly by two important fac- tors namely climatic conditions and holding time. This paper presents a completely automated computer vision based segmentation of fish gills from digital images of fish samples. Post segmentation, a statistical relationship of the segmented gill region is established to design an assessment model for fish freshness identification. The fish gills are segmented using various strategic image processing techniques like con- trast enhancement, adaptive intensity threshold and active contour based methods. The model for fish freshness testing is based on the image statistical features which are derived from the gills region of the saturation channel. The variation of the statistical distribution is observed to be decreasing mono- tonic which is basis for design of the framework for fish quality and freshness identification. This process being non-destructive provides an efficient fish quality assessment scheme in real time.© 2017 Elsevier B.V. All rights reserved.
Keywords:Fish freshness | Image processing | Color space conversion | Active contour | Fish gills | Threshold