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Graduate Seminar - 2/21, 12:00PM Duncan Hall 1064

Jonas Actor

"A Primer on Image Segmentation"

Image segmentation is an example of a task that is remarkably easy for humans but incredibly hard for computers. I will survey several of the most common mathematical approaches to image segmentation, including local thresholding, edge-detection methods, PDE methods, and neural networks. For each, I will describe cases where these methods work and also their limitations, focusing on medical applications relating to both previous and proposed research I have conducted. Time permitting, I will include a discussion of the computational effort required in relation to each of these methods, and discuss their scalability to 3D medical image problems.

Department of Computational and Applied Mathematics
6100 Main MS-134   Houston, TX 77005   713.348.4805

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