Institute of Information Theory and Automation

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An approach for robust segmentation of images from arbitrary blurred and noisy Fourier data

2012-01-06 11:00
Name of External Lecturer: 
Rosemary Renaut
Affiliation of External Lecturer: 
Arizona State University, USA
I will review approaches for detecting edges from Fourier data. Application to cases where the data is noisy, blurred, or partially missing, requires use of a regularization term, and accompanying regularization parameter. Our analysis focuses on validation through robustness with respect to correctly classifying edge data. Note that in this method, segmentation is achieved without reconstruction of the underlying image.

Rosemary Renaut
2012-01-03 16:23