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Calendar 2009 Poster Sessions : Robust Extraction of 1D Skeletons from Grayscale 3D Images
Student Name : Emilio Rodriguez Antunez
Advisor : Leonidas Guibas
Research Areas: Artificial Intelligence, Computer Systems, Graphics/HCI
Advisor : Leonidas 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.
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.