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On an image contour compression method using compactly supported sampling functions

Paul H Kwan, Kazuo Toraichi, Koichi Wada, Keisuke Kameyama, Kazuki Katagishi, Tetsuo Sugiyama, Fumito Yoshikawa

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

2 Citations (Scopus)

Abstract

In this paper, we propose a novel image contour compression method using Compactly Supported Sampling Functions. To demonstrate the effectiveness of our method, we experimented it on a real life application using beef marbling images for an integrated database and display system to assist beef marbling evaluation. This method's applicability, however, is not limited to beef marbling images but can be extended to other applications having the need for image contour compression.
Original languageEnglish
Title of host publicationProceedings of the 2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)
Place of PublicationLos Alamitos, United States of America
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages271-274
Volume1
ISBN (Print)0780370813, 0780370805
DOIs
Publication statusPublished - 2001
EventPACRIM 2001: IEEE Pacific Rim Conference on Communications, Computers and Signal Processing - Victoria, Canada
Duration: 26 Aug 200128 Aug 2001

Conference

ConferencePACRIM 2001: IEEE Pacific Rim Conference on Communications, Computers and Signal Processing
CityVictoria, Canada
Period26/08/0128/08/01

Keywords

  • Pattern Recognition and Data Mining
  • Image Processing

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