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A New Method on Assigning Function Types to Line Segments for Function Approximation-based Image Coding

Fumio Kawazoe, Kazuo Toraichi, Paul H Kwan

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

Abstract

This paper proposes a new method to determine the types of function for approximating line segments using an algorithm based on binary search. In the function approximation-based image coding, it is essential that the joint points between different types of line segment be extracted precisely. Through experiments, it is verified that the proposed method extracts straight lines and arcs more precisely than the earlier method.
Original languageEnglish
Title of host publicationProceedings of the 2003 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)
EditorsIEEE: Institute of Electrical, Electronics Engineers
Place of PublicationLos Alamitos, United States of America
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages856-859
Volume2
ISBN (Print)0780379780
DOIs
Publication statusPublished - 2003
EventPACRIM 2003: IEEE Pacific Rim Conference on Communications, Computers and Signal Processing - Canada
Duration: 28 Aug 200330 Aug 2003

Conference

ConferencePACRIM 2003: IEEE Pacific Rim Conference on Communications, Computers and Signal Processing
CityCanada
Period28/08/0330/08/03

Keywords

  • Pattern Recognition and Data Mining
  • Image Processing

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