Image segmentation with scalable spatial information

Chi Kin Leung, F. K. Lam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In this paper, a general approach is proposed for the design of image segmentation algorithms utilizing spatial information which is the combined properties of a collection of neighborhood pixels. With different types of properties and different number of neighborhood pixels being utilized, segmentation algorithms with different speed and accuracy performance can be designed. Six algorithms have been implemented with their performance investigated and compared.
Original languageEnglish
Title of host publicationIEEE Region 10 Annual International Conference, Proceedings/TENCON
PublisherIEEE
Pages357-360
Number of pages4
Publication statusPublished - 1 Dec 1997
EventProceedings of the 1997 IEEE TENCON Conference. Part 1 (of 2) - Brisbane, Australia
Duration: 2 Dec 19974 Dec 1997

Conference

ConferenceProceedings of the 1997 IEEE TENCON Conference. Part 1 (of 2)
Country/TerritoryAustralia
CityBrisbane
Period2/12/974/12/97

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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