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Proceedings Paper

Morphological shape description using geometric spectrum on multidimensional binary images
Author(s): Frank Yeong-Chya Shih; Christopher Chamin Pu
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Paper 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.

Paper Details

Date Published: 1 November 1992
PDF: 12 pages
Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); doi: 10.1117/12.131503
Show Author Affiliations
Frank Yeong-Chya Shih, New Jersey Institute of Technology (United States)
Christopher Chamin Pu, New Jersey Institute of Technology (United States)


Published in SPIE Proceedings Vol. 1818:
Visual Communications and Image Processing '92
Petros Maragos, Editor(s)

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