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A Survey on Content Based Image Retrieval

Author(s):

Prof. Kanubhai G. Patel , B.V.M. Engg. College, VVNagar-388120, Gujarat, India; Prof. U. K. J aliya, B.V.M. Engg. College, VVNagar-388120, Gujarat, India; Bhavik M. Patel, B.V.M. Engg. College, VVNagar-388120, Gujarat, India

Keywords:

CBIR, Low level feature extraction, Scale and rotation invariant.

Abstract

Literature survey is the most important for understanding and gaining much more knowledge about specific area of a subject. Content based image retrieval (CBIR) deals with the problem of searching for digital images from large databases. CBIR is also known as Query By Image Content (QBIC). CBIR works on basis of extracting low level features of an image such as color, texture and shape and compares similarity measures with feature database for finding relevant image retrieval from large database. This survey covers various low level features extraction techniques and distance measures methods.

Other Details

Paper ID: IJSRDV1I10057
Published in: Volume : 1, Issue : 10
Publication Date: 01/01/2014
Page(s): 2287-2289

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