Segmentation: Principles and Basic Techniques

The purpose of image segmentation is to generate pixel agglomerations from an image that constitute parts of depicted objects. In medical imaging, segmentation often refers to the delineation of specific structures. Hence, it includes parts of classification as well. Segmentation strategies in medic...

Full description

Saved in:
Bibliographic Details
Published inGuide to Medical Image Analysis pp. 209 - 247
Main Author Toennies, Klaus D
Format Book Chapter
LanguageEnglish
Published United Kingdom Springer London, Limited 2017
Springer London
SeriesAdvances in Computer Vision and Pattern Recognition
Subjects
Domain Knowledge
Foreground Object
Foreground Pixel
Seed Point
Segmentation Method
Online AccessGet full text

Cover

More Information
Summary:The purpose of image segmentation is to generate pixel agglomerations from an image that constitute parts of depicted objects. In medical imaging, segmentation often refers to the delineation of specific structures. Hence, it includes parts of classification as well. Segmentation strategies in medical imaging combine data knowledge with domain knowledge to arrive at the result. Data knowledge refers to assumptions about continuity, homogeneity, and local smoothness of image features within segments. Domain knowledge represents information about the objects to be delineated. In this chapter, basic strategies for integrating the two types of knowledge into the segmentation process will be discussed. We will also describe basic segmentation methods that are popular in medical image analysis.
ISBN:9781447173182
144717318X
ISSN:2191-6586
2191-6594
DOI:10.1007/978-1-4471-7320-5_6