2009 Poster Sessions : Robust Extraction of 1D Skeletons from Grayscale 3D Images

Student Name : Emilio Rodriguez Antunez
Advisor : Leo Guibas
Research Areas: Artificial Intelligence, Computer Systems, Graphics/HCI
Abstract:
We present novel thinning conditions for grayscale 3D images that do not rely on image thresholding or segmentation. The resulting grayscale skeletonization routine extracts a topologically-consistent skeleton of curve-like features at all scales and intensities of the image. Our thinning conditions yield rich structural data that can be used to identify and delete low-contrast shape features created by blurring and noise.


Bio:
Emilio is a Ph.D. student in the Department of Electrical Engineering at Stanford University. His research interests include image processing, computer vision, and applications in medical imaging.