Augmented Content Based Image Retrieval using FusioiiBased on Self Organizing Ma

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dc.categoryJournal Article
dc.contributor.authorVasantha Kalyani David
dc.date.accessioned2017-03-29T17:56:40Z
dc.date.available2017-03-29T17:56:40Z
dc.date.issued2012
dc.departmentComputer Scienceen_US
dc.description.abstractContent Based Image Retrieval (CBIR) comprises the task of retrieving the image from a large database which matches the query image. The features like color, texture and shape are taken as multiple features and using fusion Self Organizing Map the matching process is carried out. Enhanced HSV-based Histograms for color, Active Contours for shape, DWT transformation for texture are applied and this work prove that the proposed CBIR system is an improved version in terms of precision, recall and speed of image retrieval.en_US
dc.identifier.urihttps://ir.avinuty.ac.in/handle/avu/2282
dc.langEnglishen_US
dc.publisher.nameInternational Journal of Innovative Research In Science, Engineering And Technologyen_US
dc.publisher.typeInternationalen_US
dc.titleAugmented Content Based Image Retrieval using FusioiiBased on Self Organizing Maen_US
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