A morphological dominant points detection and its cellular implementation

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Abstract

This paper addresses the problem of detection of dominant points also called interest points or key points in the literature. We present a new algorithm to compute dominant points on a gray level image. It is founded on mathematical morphology, and it is adapted to SIMD cellular, level sets based, Boolean computation. It is also compliant with the morphological scale-space framework. Cellular implementation and results are presented.

Original languageEnglish
Title of host publicationProceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
PublisherIEEE Computer Society
Pages181-184
Number of pages4
ISBN (Print)0780379462, 9780780379466
DOIs
Publication statusPublished - 1 Jan 2003
Event7th International Symposium on Signal Processing and Its Applications, ISSPA 2003 - Paris, France
Duration: 1 Jul 20034 Jul 2003

Publication series

NameProceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
Volume2

Conference

Conference7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
Country/TerritoryFrance
CityParis
Period1/07/034/07/03

Keywords

  • Dominant point
  • Level set
  • Mathematical morphology
  • Parallel cellular machine
  • Skeleton

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