Decomposition of branching volume data by tip detection

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.

• Type: Conference
• Year: 2008
• Where: ICIP
• Authors: Wei Ma, Bo Xiang, Xiaopeng Zhang, Hongbin Zha
• Keywords: Branching Volume Data, ICIP 2008, Image Processing, Multi-path Growing Strategy, Reasonable Segmentation Boundaries