Volumetric Image Analysis

Volumetric, or three–dimensional, digital imaging now plays a vital role in many areas of research such as medicine and geology. Medical images acquired by tomographic scanners for instance are often given as a stack of cross–sectional image slices. Such images are called ‘volumetric’ because they depict objects in their entire three–dimensional extent rather than just as a projection onto a two–dimensional image plane. Since huge amounts of volumetric data are continually being produced in many places around the world, techniques for their automatic analysis become ever more important. Written by a computer vision specialist, this clear, detailed account of volumetric image analysis techniques provides a practical approach to the field including the following topics:preprocessing of volumetric imagesobtaining quantitative measurements in volumetric imagesdetection and modelling of objects in volumetric imagesTo students without prior knowledge of computer vision this book will serve as a self–contained comprehensive introduction. Experienced practitioners and researchers will find it a helpful reference and a source of high level case material.

Spis treści:
3D BINARY IMAGES.
Basics.
Features of 3D Components.
Operations on 3D Binary Images.
3D GREY LEVEL IMAGES.
Images Enhancement.
Geometric Transformations of Voxel Images.
Surface Segmentation.
Region Segmentation.
MODELLING AND REGISTRATION OF OBJECTS.
Surface Tiling.
Surface Reconstruction.
Registration.
Appendix.
References.
Index.

Okładka tylna:
Volumetric, or three–dimensional, digital imaging now plays a vital role in many areas of research such as medicine and geology. Medical images acquired by tomographic scanners for instance are often given as a stack of cross–sectional image slices. Such images are called ‘volumetric’ because t hey depict objects in their entire three–dimensional extent rather than just as a projection onto a two–dimensional image plane. Since huge amounts of volumetric data are continually being produced in many places around the world, techniques for their automatic analysis become ever more important. Written by a computer vision specialist, this clear, detailed account of volumetric image analysis techniques provides a practical approach to the field including the following topics:preprocessing of volumetric imagesobtaining quantitative measurements in volumetric imagesdetection and modelling of objects in volumetric imagesTo students without prior knowledge of computer vision this book will serve as a self–contained comprehensive introduction. Experienced practitioners and researchers will find it a helpful reference and a source of high level case material.