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Installieren Sie die genialokal App auf Ihrem Startbildschirm für einen schnellen Zugriff und eine komfortable Nutzung.
Installieren Sie die genialokal App auf Ihrem Startbildschirm für einen schnellen Zugriff und eine komfortable Nutzung.
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Skeletonization: Theory, Methods and Applications is a comprehensive reference on skeletonization, written by the world's leading researchers in the field. The book presents theory, methods, algorithms and their evaluation, together with applications. Skeletonization is used in many image processing and computer vision applications such as shape recognition and analysis, shape decomposition and character recognition, as well as medical imaging for pulmonary, cardiac, mammographic applications. Part I includes theories and methods unique to skeletonization. Part II includes novel applications including skeleton-based characterization of human trabecular bone micro-architecture, image registration and correspondence establishment in anatomical structures, skeleton-based fast, fully automated generation of vessel tree structure for clinical evaluation of blood vessel systems.
1. Skeletonization and its Applications- a Review 2. Multiscale 2D medial axes and 3D surface skeletons by the image foresting transform 3. Fuzzy Skeleton and Skeleton by Influence Zones: A Review 4. Unified Part-Patch Segmentation of Mesh Shapes using Surface Skeletons 5. Improving the Visual Aspect of the Skeleton and Simplifying its Structure 6. Curve Skeletonization using Minimum-Cost Path 7. Parallel skeletonization algorithms in the cubic grid based on critical kernels 8. Critical Kernels, Minimal Non-Simple Sets, and Hereditarily Simple Sets in Binary Images on n-Dimensional Polytopal Complexes 9. Characterization of Trabecular Bone Plate-Rod Micro-Architecture using Skeletonization and Digital Topologic and Geometric Analysis 10. Image Registration and Correspondence Establishment in Anatomical Structures based on Skeletonization 11. Skeletonization: Theory, Methods, and Applications 12. Skeletonization in Natural Images and Its Application to Object Recognition
