Multidimensional Morphological Edge Detection

Richard J. Feehs; Gonzalo R. Arce

doi:10.1117/12.976517

13 October 1987 Multidimensional Morphological Edge Detection

Richard J. Feehs, Gonzalo R. Arce

Author Affiliations +

Proceedings Volume 0845, Visual Communications and Image Processing II; (1987) https://doi.org/10.1117/12.976517
Event: Cambridge Symposium on Optics in Medicine and Visual Image Processing, 1987, San Diego, CA, United States

Abstract

Recently, mathematical morphology has been used to develop efficient and statistically robust 2-dimensional edge detectors[1]. These edge detectors have been shown to outperform most mask and differentiation based edge detectors. In this paper, we introduce a general robust N-dimensional morphological edge detector that outperforms any of the previously developed morphological edge detectors. We compare the statistical performance of our edge detector with that of the previously developed 2-D morphological edge detector on images with various noise levels. Finally, we will also include some examples of our edge detector's output on both 2 and 3-dimensional images to compare with other operators.

Citation Download Citation

Richard J. Feehs and Gonzalo R. Arce "Multidimensional Morphological Edge Detection", Proc. SPIE 0845, Visual Communications and Image Processing II, (13 October 1987); https://doi.org/10.1117/12.976517

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