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


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
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


ConferenceProceedings of the 1997 IEEE TENCON Conference. Part 1 (of 2)

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering


Dive into the research topics of 'Image segmentation with scalable spatial information'. Together they form a unique fingerprint.

Cite this