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Biomedical Image Analysis
Contributor(s): Acton, Scott T. (Author)

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 ISBN: 1598290185     ISBN-13: 9781598290189
Publisher: Morgan & Claypool
OUR PRICE: $38.00  

Binding Type: Paperback - See All Available Formats & Editions
Published: February 2006
* Out of Print *

Click for more in this series: Synthesis Lectures on Image, and Multimedia Processing
Additional Information
BISAC Categories:
- Medical | Diagnostic Imaging - General
- Technology & Engineering | Imaging Systems
- Technology & Engineering | Biomedical
Dewey: 616
Series: Synthesis Lectures on Image, and Multimedia Processing
Physical Information: 0.32" H x 7.49" W x 9.24" L (0.61 lbs) 144 pages
Features: Bibliography, Illustrated, Table of Contents
 
Descriptions, Reviews, Etc.
Publisher Description:
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. 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.
 
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