The application of volumetric region growing in segmentation for volume data from industrial computed tomography

摘要

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.