Research Article
Combination of Color and Local Patterns as a Feature Vector for CBIR
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 99 - Issue 1 |
| Published: August 2014 |
| Authors: L. Koteswara Rao, D. Venkata Rao |
10.5120/17334-6964
|
L. Koteswara Rao, D. Venkata Rao . Combination of Color and Local Patterns as a Feature Vector for CBIR. International Journal of Computer Applications. 99, 1 (August 2014), 1-5. DOI=10.5120/17334-6964
@article{ 10.5120/17334-6964,
author = { L. Koteswara Rao,D. Venkata Rao },
title = { Combination of Color and Local Patterns as a Feature Vector for CBIR },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 99 },
number = { 1 },
pages = { 1-5 },
doi = { 10.5120/17334-6964 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A L. Koteswara Rao
%A D. Venkata Rao
%T Combination of Color and Local Patterns as a Feature Vector for CBIR%T
%J International Journal of Computer Applications
%V 99
%N 1
%P 1-5
%R 10.5120/17334-6964
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The local properties of an image can be acquired in many ways. Local Binary Patterns(LBP) operator is one among them in which a centre pixel is referenced with the neighboring pixels to obtain a feature vector. However, the directions are not considered 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 approach based on the combination of DLEP and color to derive the properties those can be used in the process of retrieval.
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