Biomedical Image Analysis - Segmentation (Paperback)

The sequel to the popular lecture book entitled Biomedical Image Analysis: Tracking, this book on Biomedical Image Analysis: Segmentation tackles the challenging task of segmenting biological and medical images. The problem of partitioning multidimensional biomedical data into meaningful regions is perhaps the main roadblock in the automation of biomedical image analysis. Whether the modality of choice is MRI, PET, ultrasound, SPECT, CT, or one of a myriad of microscopy platforms, image segmentation is a vital step in analyzing the constituent biological or medical targets. This book provides a state-of-the-art, comprehensive look at biomedical image segmentation that is accessible to well-equipped undergraduates, graduate students, and research professionals in the biology, biomedical, medical, and engineering fields. Active model methods that have emerged in the last few years are a focus of the book, including parametric active contour and active surface models, active shape models, and geometric active contours that adapt to the image topology. Additionally, Biomedical Image Analysis: Segmentation details attractive new methods that use graph theory in segmentation of biomedical imagery. Finally, the use of exciting new scale space tools in biomedical image analysis is reported.

Table of Contents: Introduction / Parametric Active Contours / Active Contours in a Bayesian Framework / Geometric Active Contours / Segmentation with Graph Algorithms / Scale-Space Image Filtering for Segmentation

General

Imprint:	Morgan & Claypool Publishers
Country of origin:	United States
Series:	Synthesis Lectures on Image, Video, and Multimedia Processing
Release date:	April 2009
First published:	April 2009
Authors:	Scott Acton • Nilanjan Ray
Dimensions:	235 x 187 x 6mm (L x W x T)
Format:	Paperback
Pages:	108
ISBN-13:	978-1-59829-020-2
Categories:	Books > Medicine > Other branches of medicine > Medical imaging > General
LSN:	1-59829-020-7
Barcode:	9781598290202

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