Reducing anisotropy of topological operators for grayscale images

Francisco-Nivando Bezerra; Michel Couprie

doi:10.1117/12.404834

23 October 2000 Reducing anisotropy of topological operators for grayscale images

Francisco-Nivando Bezerra, Michel Couprie

Proceedings Volume 4117, Vision Geometry IX; (2000) https://doi.org/10.1117/12.404834
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

The cross-section topology is a framework that extends the notions of digital topology to the case of grayscale images. In this framework, the use of 4- and 8-connectedness induces geometric constraints in topological operators such as thinning operators. We propose a general method to obtain better results by reducing the anisotropy of such operators. We illustrate the method with an application to the segmentation of human head MRI images.

Citation Download Citation

Francisco-Nivando Bezerra and Michel Couprie "Reducing anisotropy of topological operators for grayscale images", Proc. SPIE 4117, Vision Geometry IX, (23 October 2000); https://doi.org/10.1117/12.404834

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