Morphological shape description using geometric spectrum on multidimensional binary images

Document Type

Article

Publication Date

1-1-1992

Abstract

A useful morphological shape description tool is presented 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. © 1992.

Identifier

0026928176 (Scopus)

Publication Title

Pattern Recognition

External Full Text Location

https://doi.org/10.1016/0031-3203(92)90058-Q

ISSN

00313203

First Page

921

Last Page

927

Issue

9

Volume

25

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