دسته بندی:

بینایی ماشین - Machine vision

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سال انتشار:

2022

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عنوان انگلیسی مقاله:

Computer vision technique for freshness estimation from segmented eye of fish image

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ترجمه فارسی عنوان مقاله:

تکنیک بینایی کامپیوتری برای تخمین تازگی از چشم تقسیم شده تصویر ماهی

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منبع:

ScienceDirect- Elsevier- Ecological Informatics, 69 (2022) 101602: doi:10:1016/j:ecoinf:2022:101602

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نویسنده:

Anamika Banwari

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چکیده انگلیسی:

Preserving the quality of fish is a challenging task. Several different cooling methods and materials are used during their storage, transportation purpose. These are responsible factors that decide the freshness of a post harvested fish. In this proposed algorithm, a computer vision-based technique is developed to predict the freshness level of fish from its image. Eyes of the fish are considered as the region of interest, as a good corre- lation has been observed between the colour of the eye and different duration of storage day. It is segmented from the image of a fish sample and then a strategic framework is used for extraction of the discriminatory features. These extracted features show a degradation pattern which acts as an indicative parameter to determine the level of freshness of sample of fish. The proposed method provides a recognition accuracy of 96.67%. The experimental results indicate that this is an efficient and non-destructive methodology for detecting the fish freshness. The high accuracy of freshness detection and low computation time makes this non-destructive methodology efficient for real-world usage in the fish industry and market.
keywords: استخراج ویژگی | چشم ماهی | تکنیک های پردازش تصویر | سطح تازگی | تقسیم بندی | Feature extraction | Fish eye | Image processing techniques | Level of freshness | Segmentation

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قیمت: رایگان

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توضیحات اضافی:

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