“Image Processing for Volume Graphics” by Yoo, Machiraju, Gerig, Kakadiaris, Moeller, et al. …

  • ©Terry S. Yoo, Raghu Machiraju, Guido Gerig, Ioannis Kakadiaris, Torston Moeller, and Ross Whitaker

Conference:


Entry Number: 49

Title:

    Image Processing for Volume Graphics

Course Organizer(s):



Presenter(s):



Abstract:


    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.

    Description
    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.

     


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