Biomedical image analysis : tracking /
By: Acton, Scott Thomas.
Contributor(s): Ray, Nilanjan.
Material type:
BookSeries: Synthesis lectures on image, video, and multimedia processing: #2.Publisher: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, c2005Edition: 1st ed.Description: 1 electronic document (vii, 144 p.) : digital file.ISBN: 1598290185 (electronic bk.); 9781598290189 (electronic bk.).Uniform titles: Synthesis digital library of engineering and computer science. Subject(s): Diagnostic imaging -- Digital techniques | Image analysis -- Mathematics | Image processing -- Digital techniques | Active contours | Biomedical imaging | Image analysis | Image processing | Medical imaging | Particle filter | Snakes | Kalman filter | Target trackingDDC classification: 616.07/54 Online resources: Abstract with links to resource | Abstract with links to full text | Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
E books
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PK Kelkar Library, IIT Kanpur | Available | EBKE074 |
Mode of access: World Wide Web.
System requirements: PDF reader.
Part of: Synthesis digital library of engineering and computer science.
Series from website.
Series statement from caption on home page.
Includes bibliographical references (p. 139-142).
Introduction -- Active contours for tracking -- Bayesian tracking and the Kalman filter -- Particle filters and multi-target tracking -- Tracking shapes by sampling.
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
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INSPEC
In biological and medical imaging applications, tracking objects in motion is a critical task. This book describes the state-of-the-art in biomedical tracking techniques. We begin by detailing methods for tracking using active contours, which have been highly successful in biomedical applications. The book next covers the major probabilistic methods for tracking. Starting with the basic Bayesian model, we describe the Kalman filter and conventional tracking methods that use centroid and correlation measurements for target detection. Innovations such as the extended Kalman filter and the interacting multiple model open the door to capturing complex biological objects in motion. A salient highlight of the book is the introduction of the recently emerged particle filter, which promises to solve tracking problems that were previously intractable by conventional means. Another unique feature of Biomedical Image Analysis: Tracking is the explanation of shape-based methods for biomedical image analysis. Methods for both rigid and nonrigid objects are depicted. Each chapter in the book puts forth biomedical case studies that illustrate the methods in action.
Title from PDF t.p. (viewed on Oct. 10, 2008).
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