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49: Image Processing for Volume Graphics
Tuesday, Full Day, 8:30 am - 5 pm
Room 511

Advanced volume processing enables filtering, interpolation, reconstruction, feature extraction, and model fitting. This course covers reconstruction of continuous models from sampled data, application of transfer functions for shading and classification, and segmentation and projection of the reconstructed values for rendering. The goal is to illuminate structures within the data without generating unwanted artifacts or masking detail.

Prerequisites
Basic knowledge of 3D computer graphics and an understanding of the basic principles of image processing.

Topics
The mathematics of effective volume visualizations and the processes by which they are created. Emerging topics in volume-data processing, including level sets, shape extraction using adaptive deformable systems, and model-based segmentation.

Organizers
Terry S. Yoo
US National Library of Medicine

Raghu Machiraju
The Ohio State University

Lecturers
Guido Gerig
University of North Carolina at Chapel Hill

Ioannis Kakadiaris
University of Houston

Raghu Machiraju
The Ohio State University

Torston Moeller
Simon Fraser University

Ross Whitaker
University of Utah

Terry S. Yoo
US National Library of Medicine


 

 

 

 

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