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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/27968

Title: An Adaptive Gauss Filtering Method
Authors: Shyh-Kuang Ueng;Hai-Peng Cheng;Ruey-Yuan Lu
Contributors: NTOU:Department of Computer Science and Engineering
Keywords: I.3.3 [Computer Graphics]: Picture/Image Generation¿Antialiasing
Date: 2008-03
Issue Date: 2011-10-21T02:34:46Z
Publisher: PacificVIS '08. IEEE Pacific Visualization Symposium, 2008
Abstract: Abstract:An adaptive filtering method for volume data is presented in this paper. In this filtering method, the input data set is re-sampled to create a hierarchy of multiple-level data sets. A data classification task is performed at each level of the data pyramid to decide the local structure types. Data voxels are classified as linear, planar, or blob structures, based on the gradients and the eigenvalues of Hessian matrices. The classification results are used to adjust the shapes and orientations of filters such that noises are suppressed while key features are preserved.
Relation: pp.127-134
URI: http://ntour.ntou.edu.tw/handle/987654321/27968
Appears in Collections:[資訊工程學系] 演講及研討會

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