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http://dx.doi.org/10.5391/JKIIS.2016.26.4.316

A Pattern Recognition Based on Co-occurrence among Median Local Binary Patterns  

Cho, Yong-Hyun (School of Information Technology, Catholic University of Daegu)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.26, no.4, 2016 , pp. 316-320 More about this Journal
Abstract
In this paper, we presents a pattern recognition by considering the spatial co-occurrence among micro-patterns of texture images. The micro-patterns of texture image have been extracted by local binary pattern based on median(MLBP) of block image, and the recognition process is based on co-occurrence among MLBPs. The MLBP is applied not only to consider the local character but also analyze the pattern in order to be robust noise, and spatial co-occurrence is also applied to improve the recognition performance by considering the global space of image. The proposed method has been applied to recognized 17 RGB images of 120*120 pixels from Mayang texture image based on Euclidean distance. The experimental results show that the proposed method has a texture recognition performance.
Keywords
Local Binary Pattern(LBP); Median LBP(MLBP); Co-occurrence; Pattern Recognition; Micro-pattern;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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