Retrieval of Images on the Basis of Content: A Survey

  Meenakshi Garg,   Dr. Manisha Malhotra

With the development of the Internet, and the availability of image capturing devices such as digital cameras, image scanners, the size of digital image collection is increasing rapidly. Efficient image searching, browsing and retrieval tools are required by users from various domains, including remote sensing, fashion, crime prevention, publishing, medicine, architecture, etc. For this purpose, many general purpose image retrieval systems have been developed. In CBIR, images are indexed by their visual content.Content based image retrieval consists of three parts: feature extraction, indexing and retrieval part. The techniques which are used to extract features of an image are called feature extraction techniques. The choice of features plays an important role in image retrieval. Some of the features used are color, texture and shape. Combination of these features provides better performance than single feature. Here we have reviewed some of the work carried out in this field.

Keywords- feature extraction , CBIR

Unique Identification Number - IJEDR1702126
Page Number(s) - 757-760
Pubished in - Volume 5 | Issue 2 | April 2017
DOI (Digital Object Identifier) -    http://www.dx.doi.org/10.6084/m9.figshare.5005055
Publisher - IJEDR (ISSN - 2321-9939)

  Meenakshi Garg,   Dr. Manisha Malhotra ,   "Retrieval of Images on the Basis of Content: A Survey", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.757-760, April 2017, Available at :http://www.ijedr.org/papers/IJEDR1702126.pdf