A CBIR Technique Comparison Using Color, Texture and Shape Features

Authors

  • Nidhi Tripathi
  • Pankaj Sharma

DOI:

https://doi.org/10.37591/joipprp.v4i2.1008

Abstract

Abstract

Picture recovery is a framework for seeking, perusing, and recovery of pictures from computerized image database-based image retrieval (CBIR). It is a plan of picture inquiry which supplements the standard based image retrieval through visual elements, for example texture, shading, and shape. This framework recovers as indicated by the inquiry picture; the client offers or picks a question picture and chooses a space measure which will be used to contrast the inquiry picture with the pictures put away inside database. This paper endeavored to investigate distinctive CBIR procedure and their application.

Keywords: CBIR, feature extraction, color, shape, texture techniques

Cite this Article

Nidhi Tripathi, Pankaj Sharma. A CBIR Technique Comparison Using Color, Texture and Shape Features. Journal of Image Processing & Pattern Recognition Progress. 2017; 4(2):      28–34p.


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Published

2017-08-23

Issue

Vol. 4 No. 2 (2017)

Section

Research Articles

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