Title :
3D surface reconstruction using HMH algorithm
Author :
Dutailly, Bruno ; Coqueugniot, Hélène ; Desbarats, Pascal ; Gueorguieva, Stefka ; Synave, Rémi
Author_Institution :
CNRS, Univ. Bordeaux 1, Talence, France
Abstract :
3D surface reconstruction using the half maximum height (HMH) algorithm is a method to extract a surface of interest from a voxel data set. It is based on the original HMH method applied to each voxel of the segmented surface to reconstruct. From a 3D voxel grid, an initial segmentation is computed to extract a discrete surface of interest. For each of these voxels, HMH computes a segmentation and an orientation. The result of this step is then processed using a marching cube-like algorithm. The two major advantages of this method are the precision of the surface extraction and its non user-dependancy.
Keywords :
feature extraction; image reconstruction; image segmentation; surface reconstruction; 3D surface reconstruction; 3D voxel grid; discrete surface of interest extraction; half maximum height algorithm; marching cube-like algorithm; surface segmentation; Biomedical measurements; Computational efficiency; Computed tomography; Data mining; Design methodology; Grid computing; Image reconstruction; Light scattering; Surface reconstruction; Volume measurement; Biomedical image processing; Image edge analysis; Image processing; Visualization;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5413911