alexa Augmented Content Based Image Retrieval using Fusion B
ISSN ONLINE(2319-8753)PRINT(2347-6710)

International Journal of Innovative Research in Science, Engineering and Technology
Open Access

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Research Article

Augmented Content Based Image Retrieval using Fusion Based on Self Organizing Map.

R.Priya1, Dr.VasanthaKalyani David2
Dept. of Computer Science, SreeNarayana Guru College, Avinashilingam University for Women, Coimbatore, India1,2
Corresponding Author: SHARMA VIVEK, E-mail: [email protected]
Related article at Pubmed, Scholar Google


Content 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.


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