700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ ReadersThis Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
Research Article Open Access
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.
Content based image retrieval, enhanced HSV-based histograms, Active Contours, Discrete Wavelet Transform, Self Organizing Maps, Aerospace Engineering,Applied Sciences,Biochemistry,,Fluid Dynamics