다채널 Gabor 필터와 Log-Polar 변환을 사용한 내용기반 영상 검색

Abstract

In this paper, we propose new features for describing texture images by sing 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 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.