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

중간값 국소이진패턴 사이의 동시발생 빈도 기반 패턴인식

  • Cho, Yong-Hyun (School of Information Technology, Catholic University of Daegu)
  • 조용현 (대구가톨릭대학교 IT공학부)
  • Received : 2016.06.17
  • Accepted : 2016.08.11
  • Published : 2016.08.25

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.

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