Volumetric Segmentation
نویسندگان
چکیده
Image segmentation plays a crucial role in effective understanding of digital images, planar or volumetric images. The current research in graph based methods is oriented towards producing approximate solution (or sub-optimal solution) for such graph matching problem to reduce processing time. We are introducing an algorithm for volumetric segmentation based on virtual tree-hexagonal structure (prisms) constructed on the image voxels to improve the speed of segmentation. Here, a graph-based theoretic framework is considered by modeling image segmentation as a graph partitioning problem using input spatial graph. Then we can use the graph facilities and their related algorithms and computational complexity can be viewed as slow as the fundamental graph algorithms. The key to the whole algorithms of volumetric segmentation method is the prism cells as vertices. Volumetric segmentation algorithm contains many other algorithms but only segmentation algorithm is presented based on the limited space of paper.
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