论文信息 - An Efficient QBIR System Using Adaptive Segmentation and Multiple Features

An Efficient QBIR System Using Adaptive Segmentation and Multiple Features

Abstract Query by Image Content Retrieval abbreviated as QBIR, has become new thirst now a days. By using this systems, user can retrieve the similar images of an already existed image (or) a rough sketch (or) a symbolic representation. To make more efficient and user friendly QBIR multiple features areemployed. This paper proposes a novel approach for image retrieval using adaptive k-means clustering and shape, texture features. The experimental results portraystheperformance of the proposed retrieval system in terms of better precision. To evaluate the proposed method COIL and MPEG-7 shape 1 datasets are used.

E. Sreenivasa Reddy | N. Neelima | N. Kalpitha

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