» » Ridges in Image and Data Analysis (Computational Imaging and Vision)

Download Ridges in Image and Data Analysis (Computational Imaging and Vision) epub

by D. Eberly

The concept of ridges has appeared numerous times in the image processing liter­ ature. Sometimes the term is used in an intuitive sense. Other times a concrete definition is provided. In almost all cases the concept is used for very specific ap­ plications. When analyzing images or data sets, it is very natural for a scientist to measure critical behavior by considering maxima or minima of the data. These critical points are relatively easy to compute. Numerical packages always provide support for root finding or optimization, whether it be through bisection, Newton's method, conjugate gradient method, or other standard methods. It has not been natural for scientists to consider critical behavior in a higher-order sense. The con­ cept of ridge as a manifold of critical points is a natural extension of the concept of local maximum as an isolated critical point. However, almost no attention has been given to formalizing the concept. There is a need for a formal development. There is a need for understanding the computation issues that arise in the imple­ mentations. The purpose of this book is to address both needs by providing a formal mathematical foundation and a computational framework for ridges. The intended audience for this book includes anyone interested in exploring the use­ fulness of ridges in data analysis.
Download Ridges in Image and Data Analysis (Computational Imaging and Vision) epub
ISBN: 0792342682
ISBN13: 978-0792342687
Category: Other
Subcategory: Medicine & Health Sciences
Author: D. Eberly
Language: English
Publisher: Springer; 1996 edition (September 30, 1996)
Pages: 215 pages
ePUB size: 1585 kb
FB2 size: 1320 kb
Rating: 4.3
Votes: 737
Other Formats: doc rtf mobi lrf