Morphological shape description and shape recognition using geometric spectrum on multidimensional binary images

Author

Pu, Christopher C. ; Shih, Frank Y.

Author_Institution

Dept. of Inf. Manage., Ming Hsin Inst. of Technol. & Commerce, Hsinchu, Taiwan

fYear

1993

fDate

15-19 Nov 1993

Firstpage

1371

Abstract

A useful morphological shape description tool called geometric spectrum (G-spectrum) for quantifying the geometric features of multidimensional binary images is described. The basis of this tool relies upon the cardinality of a set of non-overlapping segments in an image using morphological operations. G-spectrum is not only used as a shape descriptor for describing the geometric features but also as a tool for shape recognition. In this paper, a shape recognition algorithm using G-spectrum is presented. The test results show that shape recognition using G-spectrum is satisfactory

Keywords

image recognition; image sequences; mathematical morphology; cardinality; geometric features; geometric spectrum; morphological operations; morphological shape description; multidimensional binary images; nonoverlapping segments; shape recognition; Business; Filters; Image analysis; Image processing; Image recognition; Information management; Information science; Morphological operations; Multidimensional systems; Shape measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on

Conference_Location

Maui, HI

Print_ISBN

0-7803-0891-3

Type

conf

DOI

10.1109/IECON.1993.339268

Filename

339268