Augmented Content Based Image Retrieval using FusioiiBased on Self Organizing Ma
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Date
2012
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Abstract
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.