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@inproceedings\{Viola-2003-Har,
title = "Hardware-Based Nonlinear Filtering and Segmentation using
High-Level Shading Languages.",
author = "Ivan Viola and Armin Kanitsar and Meister Eduard
Gr{\"o}ller",
year = "2003",
abstract = "Non-linear filtering is an important task for volume
analysis. This paper presents hardware-based implementations
of various nonlinear filters for volume smoothing with edge
preservation. The Cg high-level shading language is used in
combination with latest PC consumer graphics hardware.
Filtering is divided into pervertex and per-fragment stages.
In both stages we propose techniques to increase the
filtering performance. The vertex program pre-computes
texture coordinates in order to address all contributing
input samples of the operator mask. Thus additional
computations are avoided in the fragment program. The
presented fragment programs preserve cache coherence,
exploit 4D vector arithmetic, and internal fixed point
arithmetic to increase performance. We show the
applicability of non-linear filters as part of a GPU-based
segmentation pipeline. The resulting binary mask is
compressed and decompressed in the graphics memory
on-the-fly.",
pages = "309--316",
month = oct,
booktitle = "Proceedings of IEEE Visualization 2003",
editor = "G. Turk, J. van Wijk, K. Moorhead",
isbn = "0780381203",
publisher = "IEEE",
keywords = "Hardware Acceleration, Segmentation, Non-linear Filtering",
URL = "http://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/",
}
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