A Survey on Descriptors for Content-Based Image Retrieval

Author(s):

Jyoti Hake , Sinhgad Technical Education Society Smt. Kashibai Navale College of Engineering, Pune. India; P.S. Deshpande, Sinhgad Technical Education Society Smt. Kashibai Navale College of Engineering, Pune. India

Keywords:

Descriptor, Survey, CBIR, Feature, Extractor

Abstract:

Content-based image retrieval (CBIR) system helps users retrieve appropriate images based on their contents. most of the information can be effectively extracted from the images by using unfailing content-based feature extraction technique. These important elements include colour, intensity, texture or shape of the object inside an image. Various descriptors are required for extracting global and local features. Present literature survey provides study of descriptors like Fourier descriptor, combine global-local spatial feature descriptor, MPEG-7 feature descriptor, Shape salience descriptors, modified generic Fourier descriptors etc.

Other Details:

Manuscript Id	:	IJSTEV2I3030
Published in	:	Volume : 2, Issue : 3
Publication Date	:	01/10/2015
Page(s)	:	76-80

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