Image enhancement using mathematical morphology with adaptive structuring elements

Ying Yao; Raj S. Acharya; Sargur N. Srihari

doi:10.1117/12.172558

1 May 1994 Image enhancement using mathematical morphology with adaptive structuring elements

Ying Yao, Raj S. Acharya, Sargur N. Srihari

Proceedings Volume 2180, Nonlinear Image Processing V; (1994) https://doi.org/10.1117/12.172558
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

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.

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Ying Yao, Raj S. Acharya, and Sargur N. Srihari "Image enhancement using mathematical morphology with adaptive structuring elements", Proc. SPIE 2180, Nonlinear Image Processing V, (1 May 1994); https://doi.org/10.1117/12.172558

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