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A Survey on Computer Vision and Image Analysis based Techniques in Aquaculture
Abstract
This paper presents the various techniques and applications of image analysis and computer vision in aquaculture. Finding the species of prawn by image processing is very important application in the aquatic food Processing industry. Many functions can be performed in an aquatic line. Sorting by size, by species and by the visual Quality attributes. So many challenges have to be faced for performing the automatic recognition of the prawns by using the digital images. The objective of this survey is to highlight the areas of research and development in the field of aquaculture which has made some progress. The literature is grouped under the various topics like species recognition based on size, shape, color, length and weight. In this review various computer vision systems are discussed which will show the way for the development of the Prawn species recognition systems.
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References
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