Skeletonization: Theory, Methods and Applications

· ·
· Academic Press
eBook
412
페이지
적용 가능
검증되지 않은 평점과 리뷰입니다.  자세히 알아보기

eBook 정보

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. - Offers a complete picture of skeletonization and its application to image processing, computer vision, pattern recognition and biomedical engineering - Provides an in-depth presentation on various topics of skeletonization, including principles, theory, methods, algorithms, evaluation and real-life applications - Discusses distance-analysis, geometry, topology, scale and symmetry-analysis in the context of object understanding and analysis using medial axis and skeletonization

저자 정보

Punam Kumar Saha received his Ph.D. degree in 1997 from the Indian Statistical Institute, where he served as a faculty member during 1993-97. In 1997, he joined the University of Pennsylvania as a postdoctoral fellow, where he served as a Research Assistant Professor during 2001-06, and moved to the University of Iowa in 2006, where is currently serving as a tenured professor of Electrical and Computer Engineering and Radiology. His research interests include image processing and pattern recognition, quantitative medical imaging, musculoskeletal and pulmonary imaging, image restoration and segmentation, digital topology, geometry, shape and scale. He has published over 100 papers in international journals and over 300 papers/abstracts in international conferences, holds numerous patents related to medical imaging applications, has served as an associate editor of Pattern Recognition and Computerized Medical Imaging and Graphics journals, and has served in many international conferences at various levels. Currently, he is an Associate Editor of the IEEE Transactions on Biomedical Engineering and the Pattern Recognition Letters journals. He received a Young Scientist award from the Indian Science Congress Association in 1996, has received several grant awards from the National Institute of Health, USA, and is a Fellow of International Association for Pattern Recognition (IAPR) and American Institute for Medical and Biological Engineering (AIMBE).

Gunilla Borgefors was born in 1952 and received her Master of Engineering in Applied Mathematics from Linköping University, Sweden in 1975. After a Licentiate in Applied Mathematics from the same university she got her PhD in Numerical Analysis from Royal Institute of Technology, Stockholm in 1986. During a sabbatical she received a Master of Journalism at Uppsala University, Sweden in 2007. She was employed at Dept. of Mathematics at Linköping University as a Researcher and Teacher and Researcher 1873-1981. Then she moved to National Defence Research Establishment in Linköping in 1982 and ended as Director of Research and the Head of the Division of Information Systems. In 1993 year she became a full professor in Image Analysis at Swedish University of Agricultural Sciences, Uppsala, dividing her time between the aforementioned university and Uppsala. Borgefors is a Fellow of International Association for Pattern Recognition (IAPR) since 1998 and of Institute of Electrical and Electronics Engineers (IEEE) since 2008. Nationally she is member No. 19 of Royal Society of Sciences in Uppsala since 2000 and of Royal Swedish Academy of Engineering Sciences (IVA) since 2011. She has had many positions of trust in IAPR, such as 1st Vice President, Secretary, and several Committees’ Chair and member. After being an Associate Editor in Pattern Recognition Letters since 1998 Borgefors became one of its three Editors-in-Chief 2011. She is in the Steering committees for "Discrete Geometry for Computer Imagery" and "International Symposium on Mathematical Morphology" and has been involved in various roles in close to a hundred international conferences. Borgefors research interest is in various aspects of discrete geometry and on description, manipulation and analysis of digital shapes, preferably in 3D, and in applications of such methods to virus recognition, wood and plant cell analysis, wood fibre and blood vessel networks, areal and satellite photo analysis of woods and fields, to mention a few. She has written well over a hundred scientific articles and is cited more than 7000 times.

Gabriella Sanniti di Baja received the laurea degree (cum laude) in physics from the "Federico II University" of Naples, Italy, in 1973, and the PhD honoris causa from the Uppsala University, Sweden, in 2002. She has been working from 1973 until 2015 at the Institute of Cybernetics E. Caianiello of the Italian National Research Council (CNR), where she has been director of research, and is currently an Associate Researcher at the Institute for High Performance Computing and Networking, CNR. Her research activity is in the field of image processing, pattern recognition and computer vision. She has published more than 200 papers in international journals and conference proceedings, is the co-editor-in-chief of Pattern Recognition Letters, has been President of the International Association for Pattern Recognition (IAPR) as well as of the Italian Group of Researchers in Pattern Recognition (GIRPR), is IAPR Fellow and Foreign Member of the Royal Society of Sciences at Uppsala, Sweden.

이 eBook 평가

의견을 알려주세요.

읽기 정보

스마트폰 및 태블릿
AndroidiPad/iPhoneGoogle Play 북 앱을 설치하세요. 계정과 자동으로 동기화되어 어디서나 온라인 또는 오프라인으로 책을 읽을 수 있습니다.
노트북 및 컴퓨터
컴퓨터의 웹브라우저를 사용하여 Google Play에서 구매한 오디오북을 들을 수 있습니다.
eReader 및 기타 기기
Kobo eReader 등의 eBook 리더기에서 읽으려면 파일을 다운로드하여 기기로 전송해야 합니다. 지원되는 eBook 리더기로 파일을 전송하려면 고객센터에서 자세한 안내를 따르세요.

Punam K Saha 작가의 책 더보기

비슷한 eBook