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

Thursday, June 9, 2011 - 1:00pm - 2:00pm
Keller 3-180
Rosemary Renaut (Arizona State University)
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.