Biomedical Image Analysis : Tracking
Acton, Scott Thomas, 1966-
Biomedical Image Analysis : Tracking by Scott T. Acton, Nilanjan Ray - 1st edition 2006 - 1 recurso en línea (VII, 144 páginas) - Synthesis Lectures on Image Video and Multimedia Processing 1559-8144 .
Introduction -- Active Contours for Tracking -- Bayesian Tracking and the Kalman Filter -- Particle Filters and Multi-Target Tracking -- Tracking Shapes by Sampling.
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.
9783031022371
10.1007/978-3-031-02237-1 doi
Diagnóstico por imagen--Técnicas digitales
Proceso digital de imágenes
RC78.7.D53 / 2006 EB
Biomedical Image Analysis : Tracking by Scott T. Acton, Nilanjan Ray - 1st edition 2006 - 1 recurso en línea (VII, 144 páginas) - Synthesis Lectures on Image Video and Multimedia Processing 1559-8144 .
Introduction -- Active Contours for Tracking -- Bayesian Tracking and the Kalman Filter -- Particle Filters and Multi-Target Tracking -- Tracking Shapes by Sampling.
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.
9783031022371
10.1007/978-3-031-02237-1 doi
Diagnóstico por imagen--Técnicas digitales
Proceso digital de imágenes
RC78.7.D53 / 2006 EB