Rosemary Anne Renaut
Arizona State University, USA

An approach for robust segmentation of images from arbitrary Fourier data using l1 minimization techniques
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.