Image matching by Wavelet Local Extrema

웨이브릿 국부 최대-최소값을 이용한 영상 정합

  • 박철진 (경북대학교 전자공학과) ;
  • 김주영 (경북대학교 전자공학과) ;
  • 고광식 (경북대학교 전자공학과)
  • Published : 1999.11.01

Abstract

Matching is a key problem in computer vision, image analysis and pattern recognition. In this paper a multiscale image matching algorithm by wavelet local extrema is proposed. This algorithm is based on the multiscale wavelet transform of the curvature which can utilize both the information of local extrema positions and magnitudes of transform results. This method has advantages in computational cost to a single scale image matching. It is also rotation-, translation-, and scale-independent image matching method. This matching can be used for the recognition of occluded objects.

Keywords