Medical image segmentation tasks are important to visualize features of interests such as lesions with boundary and volume information. Similar information is required in the computerized quantitative analysis and classification for diagnostic evaluation and characterization. This chapter presents some of the most effective and commonly used edge and region segmentation methods. Statistical quantitative features from gray level distribution, segmented regions, and texture in the image are also presented.
|Original language||English (US)|
|Title of host publication||Principles and Advanced Methods in Medical Imaging and Image Analysis|
|Publisher||World Scientific Publishing Co.|
|Number of pages||32|
|State||Published - Jan 1 2008|
All Science Journal Classification (ASJC) codes