A Novel Line Detection Method using Gradient Direction based Hough transform

Gradient 방향을 고려한 허프 변환을 이용한 직선 검출 방법

  • 김정태 (이화여자대학교 전자정보통신공학과)
  • Published : 2007.01.01

Abstract

We have proposed a novel line detection method based on the estimated probability density function of gradient directions of edges. By estimating peaks of the density function, we determine groups of edges that have the same gradient direction. For edges in the same groups, we detect lines that correspond to peaks of the connectivity weighted distribution of the distances from the origin. In the experiments using the Data Matrix barcode images and LCD images, the proposed method showed better performance than conventional Methods in terms of the processing speed and accuracy.

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