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Proceedings Paper

The application of volumetric region growing in segmentation for volume data from industrial computed tomography
Author(s): Jue Wang; Yan-Ping Lu; Yu-Fang Cai
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Paper Abstract

Volumetric region growing methods are usually used to extract volumetric region of interesting (VROI) from volume data. A volumetric region growing algorithm based on Fisher Distance (FD) is proposed in this paper. In order to reduce the effect of noise and strengthen the feature of volumetric region, and also to shift the anisotropic volume data to the isotropic, the preprocessing for volume data including 3D median filtering and interpolation is taken. The Fisher Distance (FD) is taken as the criteria to judge the growing condition. Furthermore, the formula for solving gray level standard deviations in FD is transformed to speed up the computation. Simulation results show that the volumetric region growing algorithm is not inferior to 2D region growing, while it has the superiority of saving time and reducing operation.

Paper Details

Date Published: 20 February 2006
PDF: 6 pages
Proc. SPIE 6041, ICMIT 2005: Information Systems and Signal Processing, 60410K (20 February 2006); doi: 10.1117/12.664297
Show Author Affiliations
Jue Wang, Univ. of Chongqing (China)
Yan-Ping Lu, Univ. of Chongqing (China)
Yu-Fang Cai, Univ. of Chongqing (China)


Published in SPIE Proceedings Vol. 6041:
ICMIT 2005: Information Systems and Signal Processing

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