A Feature Vector for CBIR Based on DLEP and Gabor Features

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2014 by IJETT Journal
Volume-12 Number-8
Year of Publication : 2014
Authors : L. Koteswara Rao , Dr. D.Venkata Rao
  10.14445/22315381/IJETT-V12P277

Citation 

L. Koteswara Rao , Dr. D.Venkata Rao. "A Feature Vector for CBIR Based on DLEP and Gabor Features", International Journal of Engineering Trends and Technology (IJETT), V12(8),401-405 June 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

The properties of texture present in an image can be derived in different ways. Local Binary Pattern(LBP) operator is one among them in which a centre pixel is compared with the neighboring pixels to obtain a feature vector. However, the directions are not obtained in this method. The Directional Local Extrema Patterns(DLEP) are used to encode the relationship between the reference pixel and its neighbors by computing the edge information in four directions .In this paper, we propose a new feature vector which is a combination of DLEP and Gabor filter to derive the feature which can be used in the process of Image retrieval.

References

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References
Gabor filters, LBP, image retrieval, precision, recall