Gray-Scale thinning algorithm using local min/max operations

Authors:
Kyoung Min Kim;Buhm Lee;Nam Sup Choi;Gwan Hee Kang;Joong Jo Park;Ching Y. Suen
Affiliations:
Centre for Pattern Recognition and Machine Intelligence (CENPARMI), Concordia University, Montreal, Canada;Department of Electrical Engineering, Yosu National University, Jeollanam-do, Korea;Department of Electrical Engineering, Yosu National University, Jeollanam-do, Korea;Department of Electrical Engineering, Yosu National University, Jeollanam-do, Korea;Centre for Pattern Recognition and Machine Intelligence (CENPARMI), Concordia University, Montreal, Canada;Centre for Pattern Recognition and Machine Intelligence (CENPARMI), Concordia University, Montreal, Canada
Venue:
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Year:
2006

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Abstract

A gray-scale thinning algorithm based on local min/max operations is newly proposed. Erosion and dilation properties of local min/max operations create new ridges from the given image. Thus grey scale skeletons can be effectively obtained by accumulating such ridges. The proposed method is quite salient because it can be also applied to an unsegmented image in which objects are not specified.