Analysis of Watershed Algorithms for Greyscale Images

D. Hagyard, M. Razaz, P. Atkin

Research output: Contribution to conferenceOther

45 Citations (Scopus)

Abstract

There are several different watershedding approaches in the literature, and many applications of watershedding exist in binary and greyscale image processing, particularly in vision systems. There seems to be little work published which systematically compares and assesses the performances of these algorithms. This paper discusses the different watershedding approaches for greyscale images in terms of accuracy and speed of computation, and then compares the performance of three of the fastest watershed algorithms based on the flooding approach. Experimental results of the application of these algorithms to the segmentation of real images (teeth X-ray imaging) are presented and discussed.
Original languageEnglish
Pages411-414
Number of pages4
DOIs
Publication statusPublished - 1996
EventIEEE International Conference on Image Processing -
Duration: 11 Sep 200514 Sep 2005

Conference

ConferenceIEEE International Conference on Image Processing
Period11/09/0514/09/05

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