Title :
Decomposition of branching volume data by tip detection
Author :
Ma, Wei ; Xiang, Bo ; Zhang, Xiaopeng ; Zha, Hongbin
Author_Institution :
Key Lab. of Machine Perception (Minist. of Educ.), Peking Univ., Peking
Abstract :
We present an approach to decomposing branching volume data into sub-branches. First, a metric is proposed for evaluating local convexities in volumetric data, and it is a criterion for global selection of tip points. Second, a multi-path growing strategy is adopted to segment the volumes based on a DFS transformation starting from the tips. Experiments show that this approach is capable of generating desirable components and reasonable segmentation boundaries of a volume.
Keywords :
computer graphics; computer vision; feature extraction; DFS transformation; branching volume data; feature point detection; local convexities; multi-path growing strategy; segmentation boundaries; tip detection; Automation; Computer graphics; Computer vision; Content addressable storage; Data mining; Detection algorithms; Face detection; Laboratories; Shape; Skeleton; distance transformation; feature point detection; volume decomposition;
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2008.4712163