A novel local mesh color texture pattern for image retrieval system

被引:14
作者
Charles, Yesubai Rubavathi [1 ]
Ramraj, Ravi [2 ]
机构
[1] Anna Univ, Dept Informat & Commun Engn, Madras 600025, Tamil Nadu, India
[2] Francis Xavier Engn Coll, Dept Comp Sci & Engn, Tirunelveli, Tamil Nadu, India
关键词
Local mesh color texture pattern; Image retrieval system; Opponent color channel; Local binary pattern; I1QC(b) color space; BINARY PATTERNS; INFORMATION; FEATURES;
D O I
10.1016/j.aeue.2015.11.009
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This manuscript contributes a new feature descriptor local mesh color texture pattern (LMCTP) by merging color and local spatial information for image retrieval system. The intended method combines the various features from a mixture of color spaces, the local mesh patterns of the input image. LMCTP descriptor discriminates information between the spatial color textural patterns of multi-spectral channels within the local region. It determines the relationship between surrounding neighbors of the opponent color channel. Beside this, a merged color space, I1QC(b), is constructed by combining the 11 part of the I1I2I3 color space and the chromatic component images, C-b and Q, of the YCbCr and YIQ color spaces correspondingly so as to exploit the effect of joint color texture feature. The I1QC(b) color space, whose component of images having matching characteristics, increases the distinctive power for retrieval system. Then opponent color spaces IIQ QC(b) and I1C(b) are utilized for the capturing of LMCTP features. The feasibility of the proposed framework is experiments on benchmark databases such as MIT VisTex database (DB1), Corel 1000 database (DB2). Experimental study shows that the proposed pattern gives average retrieval precision of 99.8 for DB1 and 76.5 for DB2, respectively. (C) 2015 Elsevier GmbH. All rights reserved.
引用
收藏
页码:225 / 233
页数:9
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