Texture Classification Based on Gabor-like Feature

유사 가버 특징에 기반한 텍스쳐 분류

  • Son, Ji-Hoon (Department of Computer Engineering, Kumoh National Institute of Technology) ;
  • Kim, Sung-Young (Department of Computer Engineering, Kumoh National Institute of Technology)
  • Received : 2017.03.17
  • Accepted : 2017.04.02
  • Published : 2017.04.30


Efficient texture representation is very important in computer vision fields. The performance of texture classification or/and segmentation can be improved based on efficient texture representation. Gabor filter is a representation method that has long history for texture representation based on multi-scale analysis. Gabor filter shows good performance in texture classification and segmentation but requires much processing time. In this paper, we propose new texture representation method that is also based on multi-scale analysis. The proposed representation can provide similar performance in texture classification but can reduce processing time against Gabor filter. Experimental results show good performance of our method.


Supported by : Kumoh National Institute of Technology


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