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Proceedings Paper

Improved moment invariants for shape discrimination
Author(s): Chaur-Chin Chen; Tung-I Tsai
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Paper Abstract

Moment invariants used as features for shape recognition have been widely used. The moments were computed using all the information of shape boundary associated with the interior region. This paper presents the theoretical improved moments computed based only on the shape boundary. Some invariants derived from improved moments in variation to translation, rotation, and scaling are presented. The computations of improved moment invariants based on chain code representation of a shape boundary can be done in real time. Experiments of discriminating country maps, industrial tools, and printed numerals by using improved moment invariants as features via graphical plots suggest that the improved moment invariants be good shape features close to human visual processing.

Paper Details

Date Published: 12 January 1993
PDF: 11 pages
Proc. SPIE 1771, Applications of Digital Image Processing XV, (12 January 1993); doi: 10.1117/12.139070
Show Author Affiliations
Chaur-Chin Chen, National Tsing Hua Univ. (Taiwan)
Tung-I Tsai, National Tsing Hua Univ. (Taiwan)


Published in SPIE Proceedings Vol. 1771:
Applications of Digital Image Processing XV
Andrew G. Tescher, Editor(s)

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