Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
권호 표지

Multichannel Gabor Filler and Log-Polar Transform for Content-Based Image Retrieval

다채널 Gabor 필터와 Log-Polar 변환을 사용한 내용기반 영상 검색

  • Park, Hyun (Department of Computer Science and Engineering, Hanyang University) ;
  • Moon, Young-Shik (Department of Computer Science and Engineering, Hanyang University)
  • 박현 (한양대학교 전자계산학과) ;
  • 문영식 (한양대학교 전자계산학과)
  • Published : 2000.06.01
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we propose new features for describing texture images by using multi-channel Gabor filter and log-polar transform based on human visual system (HVS). Gabor features are extracted by the mean and standard deviation of energy in Gabor response, followed by Fourier series extension. Log-polar features are extracted by log-polar transform and projection. The proposed texture descriptor performs reasonably well with less number of features than other texture descriptors, which has been verified by experiments using some texture images of MPEG-7 data set.

Keywords