Warren, Joe2011-07-252011-07-252010Feng, Powei. "Segmentation and visualization of volume maps." (2010) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/62074">https://hdl.handle.net/1911/62074</a>.https://hdl.handle.net/1911/62074Volume 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.application/pdfengCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.Computer scienceApplied sciencesSegmentation and visualization of volume mapsThesisTHESIS COMP.SCI. 2010 FENG