论文信息 - Implementation of Content based Image Retrieval System Using SIFT and SVM

Implementation of Content based Image Retrieval System Using SIFT and SVM

Abstract— this paper provides the novel information about Image Retrieval and Content based image retrieval (CBIR) system since it is now a big need of society. CBIR is a method for finding similar images from large image databases. Different approaches are used for Content based image retrieval, out of which Scale invariant feature transform is very popular. In this paper, we discuss the SIFT Algorithm and SVM classifier used for content based image retrieval. Here, results obtained in several experiments proposed to evaluate the application of Scale Invariant Feature Transform (SIFT) in content based Image Retrieval (CBIR) systems.

Dinkar L. Bhombe | Kimaya S. Meshram

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