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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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