Morphological shape description using geometric spectrum on multidimensional binary images

Frank Shih, Christopher C. Pu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we present a useful morphological shape description tool called geometric spectrum or G-spectrum, for quantifying the geometric features on multidimensional binary images. The basis of this tool relies upon the cardinality of a set of non-overlapping segments in an image using morphological operations. The G-spectrum preserves the translation invariance property. With a chosen set of isotropic structuring elements the G-spectrum also preserves the rotation invariance. After the procedure of normalization, the G-spectrum can also preserve the scaling invariance. The properties and proofs of the G-spectrum are discussed.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Pages907-918
Number of pages12
Editionpt 2
ISBN (Print)0819410187
StatePublished - Dec 1 1992
EventVisual Communications and Image Processing '92 - Boston, MA, USA
Duration: Nov 18 1992Nov 20 1992

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Numberpt 2
Volume1818
ISSN (Print)0277-786X

Other

OtherVisual Communications and Image Processing '92
CityBoston, MA, USA
Period11/18/9211/20/92

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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