6 October 1994 Shape analysis using Pytiyev morphologic paradigm and its use in machine vision
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Proceedings Volume 2350, Videometrics III; (1994) https://doi.org/10.1117/12.189147
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexander A. Stepanov, Alexander A. Stepanov, Sergey Yu. Zheltov, Sergey Yu. Zheltov, Yuri V. Vizilter, Yuri V. Vizilter, } "Shape analysis using Pytiyev morphologic paradigm and its use in machine vision", Proc. SPIE 2350, Videometrics III, (6 October 1994); doi: 10.1117/12.189147; https://doi.org/10.1117/12.189147
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