Pde and Level Sets: Algorithmic Approaches to Static and Motion Imagery

ISBN-13: 9780306473531 / Angielski / Twarda / 2002 / 414 str.

Jasjit Suri; Ed. Jasjit S. Suri; Swamy Laxminarayan

Opis

PDE & Level Sets: Algorithmic Approaches to Static & Motion Imagery is specially dedicated to the segmentation of complex shapes from the field of imaging sciences using level sets and PDEs. It covers the fundamentals of level sets, different kinds of concepts of both geodesic curvature flows and planar flows, as well as the power of incorporation of regional-statistics in level set framework. In covering this material, this book presents segmentation of object-in-motion imagery based on level sets in eigen analysis framework, while also presenting classical problems of boundary completion in cognitive images, like the pop-up of subjective contours in the famous triangle of Kanizsa using surface evolution framework, or the mean curvature evolution of a graph with respect to the Riemannian metric induced by the image. All results are presented for modal completion of cognitive objects with missing boundaries.
PDE & Level Sets: Algorithmic Approaches to Static & Motion Imagery is aimed at researchers and educators in imaging sciences, biomedical engineering, applied mathematics, algorithmic development, computer vision, signal processing, computer graphics and multimedia in general, both in academia and industry.
Key Features: -Presents detailed review of PDEs and level sets,
-Covers concepts of geodesic curvature flows and planar flows,
-Offers advance applications of level sets for crack propagation and planar cracks,
-Describes multi-resolution level sets for segmentation of video images,
-Identifies fusion of fuzzy techniques in level set framework,
-Discusses the role of subjective surfaces and Riemannian metric.

Spis treści

The Contributors. 1. Review of PDEs and Level Sets. 2. Level Set Extentions, Flows and Crack Propagation 3. Geometric Regularizers for Level Sets/PDE Image Processing 4. Partial Differential Equations in Image Processing. 5. Segmentation of Motion Imagery Using PDEs. 6. Motion Image Segmentation Using Deformable Models. 7. Medical Image Segmentation Using Level Sets and PDEs. 8. Subjective Surfaces. 9. The Future of PDEs and Level Sets. 10. Index Words.

O autorze

Jasjit Suri, Ph.D. has spent the last 20 years in the field of computer and electrical engineering, and more than a decade in imaging sciences. Dr. Suri has a masters in computer sciences from the University of Illinois, a doctorate from the University of Washington, Seattle, and will soon receive his EMBA from the Weatherhead School of Management at Case Western Reserve University, Cleveland, Ohio. Dr. Suri has published over 100 technical publications in medical imaging, is a senior member of IEEE, member of the engineering honor societies Eta-Kappa-Nu and Tau-Beta-Phi, and a recipient of the President's Gold Medal in 1980. Prof. Swamy Laxminarayan, D.Sci. championed the field of Biomedical Engineering for over 30 years having held a variety of senior positions within the industry. He is an internationally recognized scientist, engineer, and educator with over 200 technical publications in biomedical information technology, computation biology, signal and image processing, biotechnology, and physiological system modeling. Prof. Laxminarayan is a fellow of AIMBE and a recipient of IEEE 3rd Millennium Medal.