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ANALYSIS OF OBJECTS CATEGORIZATION IN UNDERWATER IMAGES

Journal: IPASJ International Journal of Computer Science (IIJCS) (Vol.5, No. 10)

Publication Date:

Authors : ;

Page : 143-149

Keywords : ;

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Abstract

ABSTRACT The main focus of this paper is to present the review work carried out in the analysis of under sea water object categorization. This study presents various architecture used to identify the type of objects like classifying the fish species, manmade objects, type of devices used for image acquisition with different type of classification methods. The fishing methods employed currently is very harmful to the marine environment by catching sea animals those are produced rarely in sea like Turtle dolphins and sea horse etc., In this study we have proposed new architecture to have an automatic tagging system for various type of sea animals in underwater sea images. Providing automatic training set preparation for sea animals in underwater will help in open-handed information for the bycatch problems by identifying the different types of species in sea. Keywords: Image Acquisition, Classification, Sea animals and Bycatch problems

Last modified: 2017-11-12 23:32:59