Share Email Print

Proceedings Paper

Erosion- and dilation-based morphological signature transform for shape description
Author(s): Zoran Dukic; Sven Loncaric
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

An algorithm for shape description is proposed in this paper. A sequence of shapes, called morphological shape signature, is generated by application of the morphological signature transform (MST), in the first step of the method. After the shape transformation process is completed a simple shape descriptor is applied to each shape from the obtained shape signature. The original MST algorithm uses erosion for iterative morphological shape processing. The original MST is modified so that both erosion and dilation are used. The method is tested on the problem of shape matching and experimental results have demonstrated that proposed method has better recognition performance.

Paper Details

Date Published: 4 April 1997
PDF: 10 pages
Proc. SPIE 3026, Nonlinear Image Processing VIII, (4 April 1997); doi: 10.1117/12.271114
Show Author Affiliations
Zoran Dukic, Ruder Boskovic Institute (United States)
Sven Loncaric, Univ. of Zagreb (Croatia)

Published in SPIE Proceedings Vol. 3026:
Nonlinear Image Processing VIII
Edward R. Dougherty; Jaakko T. Astola, Editor(s)

© SPIE. Terms of Use
Back to Top