Article thumbnail

Segmentation and visualization of volume maps

By Powei Feng

Abstract

Volume data is a simple and often-used representation for exchanging and processing data in various scientific domains, such as medicine and molecular biology. The segmentation of volume data is an essential part of data interpretation. Researchers have extensively studied the problem of segmentation focusing on efficient algorithms for segmenting and rendering volumes. Our contribution is two-fold. First, we propose a tri-linear classification method that can implemented on the GPU to reduce artifacts and jaggedness along the material boundaries that appear when rendering segmented volumes. Our representation provides sub-voxel accuracy for representing segmented materials. Second, we demonstrate our interactive painting-based segmentation tool, which can be used to rapidly produce an intuitive segmentation. We compare our tool against known results and show that we can generate similar segmentations using a simple and intuitive control scheme

Topics: Computer science, Applied sciences
Year: 2010
OAI identifier: oai:scholarship.rice.edu:1911/62074

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.

Suggested articles