Skeletonization. Theory, Methods and Applications

Description

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. Content: Front Matter,Copyright,Contributors,About the Editors,PrefaceEntitled to full textPart 1: Theory and MethodsChapter 1 - Skeletonization and its applications – a review, Pages 3-42, Punam K. Saha, Gunilla Borgefors, Gabriella Sanniti di Baja Chapter 2 - Multiscale 2D medial axes and 3D surface skeletons by the image foresting transform, Pages 43-70, Alexandre Falcão, Cong Feng, Jacek Kustra, Alexandru Telea Chapter 3 - Fuzzy skeleton and skeleton by influence zones: a review, Pages 71-87, Isabelle Bloch Chapter 4 - Unified part-patch segmentation of mesh shapes using surface skeletons, Pages 89-122, Joost Koehoorn, Cong Feng, Jacek Kustra, Andrei Jalba, Alexandru Telea Chapter 5 - Improving the visual aspect of the skeleton and simplifying its structure, Pages 123-150, Gabriella Sanniti di Baja, Luca Serino Chapter 6 - Curve skeletonization using minimum-cost path, Pages 151-180, Dakai Jin, Cheng Chen, Eric A. Hoffman, Punam K. Saha Chapter 7 - Parallel skeletonization algorithms in the cubic grid based on critical kernels, Pages 181-209, Gilles Bertrand, Michel Couprie Chapter 8 - Critical kernels, minimal nonsimple sets, and hereditarily simple sets in binary images on n-dimensional polytopal complexes, Pages 211-256, T.Y. Kong Chapter 9 - Skeletonization in natural images and its application to object recognition, Pages 259-285, Wei Shen, Kai Zhao, Jiang Yuan, Yan Wang, Zhijiang Zhang, Xiang Bai Chapter 10 - Characterization of trabecular bone plate–rod micro-architecture using skeletonization and digital topologic and geometric analysis, Pages 287-311, Punam K. Saha Chapter 11 - Medial structure generation for registration of anatomical structures, Pages 313-344, Sergio Vera, Debora Gil, H.M. Kjer, Jens Fagertun, Rasmus R. Paulsen, Miguel Á. González Ballester Chapter 12 - Skeleton-based fast, fully automated generation of vessel tree structure for clinical evaluation of blood vessel systems, Pages 345-382, Kristína Lidayová, Hans Frimmel, Chunliang Wang, Ewert Bengtsson, Örjan Smedby Index, Pages 383-392