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Proceedings Paper

Image enhancement using mathematical morphology with adaptive structuring elements
Author(s): Ying Yao; Raj S. Acharya; Sargur N. Srihari
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Paper Abstract

Mathematical morphology has been widely used in recent years in the image processing area. Due to the nonlinear nature of morphological operations, their application to some image noise removal problems have achieved very impressive results. However, of the morphological algorithms by far most use only a single structuring element. To optimize the performances on various parts of an image, we introduce morphological operations using an adaptive structuring element for noise removal of binary and grayscale images. These techniques were used in the preprocessing of character recognition problems at CEDAR, SUNY at Buffalo, New York. Demonstrations of the improved performance of the algorithm are provided.

Paper Details

Date Published: 1 May 1994
PDF: 11 pages
Proc. SPIE 2180, Nonlinear Image Processing V, (1 May 1994); doi: 10.1117/12.172558
Show Author Affiliations
Ying Yao, SUNY/Buffalo (United States)
Raj S. Acharya, SUNY/Buffalo (United States)
Sargur N. Srihari, SUNY/Buffalo (United States)

Published in SPIE Proceedings Vol. 2180:
Nonlinear Image Processing V
Edward R. Dougherty; Jaakko Astola; Harold G. Longbotham, Editor(s)

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