Image retrieval based on an improved CS-LBP descriptor

• Published in: 2010 2nd IEEE International Conference on Information Management and Engineering pp. 115 - 117
• Main Authors: Sun Junding, Zhu Shisong, Wu Xiaosheng
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.04.2010
• Subjects: center-symmetric local binary pattern; Computer science; Control engineering; direction local binary pattern; Frequency; Histograms; Image databases; Image retrieval; Laboratories; Pattern analysis; Robustness; Sun; texture spectrum
• ISBN: 9781424452637; 1424452635
• DOI: 10.1109/ICIME.2010.5477432

The texture spectrum descriptors, center-symmetric local binary pattern (CS-LBP) and its extension D-LBP are effective for region description. However, they discard the low frequency information of a region. A novel improved operator, named ID-LBP, is proposed based on D-LBP in this paper. The new operator classifies the local pattern based on the relativity between the local gray mean and the center-symmetric pixels instead of the gray variation between the center-symmetric pixels and the center pixel as D-LBP. Comparisons are given among CS-LBP, D-LBP and ID-LBP on two commonly used image databases and the experimental results show the performance improvement of the new method.