A new vectorization-based approach to the skeletonization of binary images

Kuo Chin Fan, Den Fong Chen, Ming Gang Wen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

Thinning is a very important preprocessing step for many image analysis operations. The main drawbacks of traditional thinning algorithms are slow speed and serious deformation. To remedy these problems, a novel approach which generates the skeleton of binary patterns via block decomposition and contour vector matching is proposed. The performance of the proposed algorithm is compared with the existing algorithm. Experimental results confirm the superiority of the new approach.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995
PublisherIEEE Computer Society
Pages627-630
Number of pages4
ISBN (Electronic)0818671289
DOIs
StatePublished - 1995
Event3rd International Conference on Document Analysis and Recognition, ICDAR 1995 - Montreal, Canada
Duration: 14 Aug 199516 Aug 1995

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume2
ISSN (Print)1520-5363

Conference

Conference3rd International Conference on Document Analysis and Recognition, ICDAR 1995
Country/TerritoryCanada
CityMontreal
Period14/08/9516/08/95

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