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Proceedings Paper

New morphological approach to edge detection and image restoration
Author(s): Carlo S. Regazzoni; Elena Stringa; C. Valpreda
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Paper Abstract

In this paper a new morphological method is proposed for performing edge detection and image filtering at the same time. These operations are useful for high level image processing systems performing tasks such as pattern recognition or region segmentation. In literature two main classes of methodologies are proposed: Bayesian methods, that allow one to obtain good results with the drawback of an expensive computational load, and morphological methods that involve a better computational load and less accurate results. The proposed method is based on both mathematical morphological techniques and Markov Random Field based techniques. In this paper, experimental results are shown and it is possible to conclude that the method is suitable for processing images corrupted by structured impulsive noise such as SAR images.

Paper Details

Date Published: 19 August 1997
PDF: 11 pages
Proc. SPIE 3101, New Image Processing Techniques and Applications: Algorithms, Methods, and Components II, (19 August 1997); doi: 10.1117/12.281276
Show Author Affiliations
Carlo S. Regazzoni, Univ. of Genoa (Italy)
Elena Stringa, Univ. of Genoa (Italy)
C. Valpreda, Univ. of Genoa (Italy)


Published in SPIE Proceedings Vol. 3101:
New Image Processing Techniques and Applications: Algorithms, Methods, and Components II
Philippe Refregier; Rolf-Juergen Ahlers, Editor(s)

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