Use of fuzzy set in textured image segmentation

Jia You, H. A. Cohen

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

1 Citation (Scopus)

Abstract

This paper presents an approach to texture segmentation by thresholding based on compactness measures of fuzzy sets to determine thresholds of an ill-defined image. The extension of fuzziness in the texture feature space provides more meaningful results than by considering fuzziness in gray scale domain. The effectiveness of the algorithm is demonstrated by comparison with other traditional non-fuzzy methods or the controversial fuzzy method in gray Kale alone. In addition, the efficiency of our algorithm is further improved by parallel implementation using distributed shared memory workstations.
Original languageEnglish
Title of host publicationProceedings of the International Symposium on Signal Processing and its Applications, ISSPA
Pages585-588
Number of pages4
Publication statusPublished - 1 Dec 1996
Externally publishedYes
EventProceedings of the 1996 4th International Symposium on Signal Processing and its Applications, ISSPA'96. Part 2 (of 2) - Gold Coast, Australia
Duration: 25 Aug 199630 Aug 1996

Conference

ConferenceProceedings of the 1996 4th International Symposium on Signal Processing and its Applications, ISSPA'96. Part 2 (of 2)
Country/TerritoryAustralia
CityGold Coast
Period25/08/9630/08/96

ASJC Scopus subject areas

  • Signal Processing

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