A novel local mesh color texture pattern for image retrieval system

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• 作者：Yesubai Rubavathi Charles^a ; ^{yesubaicharles@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Ravi Ramraj^b
• 关键词：Local mesh color texture pattern ; Image retrieval system ; Opponent color channel ; Local binary pattern ; I1QCb color space
• 刊名：AEU - International Journal of Electronics and Communications
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：70
• 期：3
• 页码：225-233
• 全文大小：2029 K

文摘

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 I1 part of the I1I2I3 color space and the chromatic component images, C_b and Q, of the YC_bC_r 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 I1Q, 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.