Share Email Print

Proceedings Paper

Shape analysis using Pytiyev morphologic paradigm and its use in machine vision
Author(s): Alexander A. Stepanov; Sergey Yu. Zheltov; Yuri V. Vizilter
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

Correlation techniques are widely used to match corresponding areas in stereo image pairs. This technique provides pixel correspondence that is required for the generation of 3D data. However correlation based approaches can provide false results and inaccurate matching due to noise and geometric and radiometric distortions in the stereo images. This paper is devoted to not well known outside Russia the Pytiyev morphological approach. The main idea of this approach is based on terms of the set topology theory and the projection on subspace created by the conditions of image changeability including radiometric distortions. The shape of image acquires quantitative mathematical description based on topological ideas. The specific correlational measure is built. This method can be effectively used in image matching and comparison tasks.

Paper Details

Date Published: 6 October 1994
PDF: 5 pages
Proc. SPIE 2350, Videometrics III, (6 October 1994); doi: 10.1117/12.189147
Show Author Affiliations
Alexander A. Stepanov, State Research Institute of Aviation Systems (Russia)
Sergey Yu. Zheltov, State Research Institute of Aviation Systems (Russia)
Yuri V. Vizilter, State Research Institute of Aviation Systems (Russia)

Published in SPIE Proceedings Vol. 2350:
Videometrics III
Sabry F. El-Hakim, Editor(s)

© SPIE. Terms of Use
Back to Top