Region segmentation of CT images using mathematical morphology

Author

Wei Li ; Haese-Coat, V. ; Ronsin, Joseph

Author_Institution

Inst. Nat. des Sci. Appliques, Rennes, France

Volume

3

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1059

Abstract

A automatic region segmentation method based on mathematical morphology is presented. This method is composed of morphological filtering, multiresolution morphological decomposition, morphological gradient transform, hit/miss transform etc. In applications to CT image region segmentation, it is shown that this approach bears higher level of segmentation accuracy, consistency and robustness to various cases compared to most other existing approaches

Keywords

computerised tomography; image segmentation; mathematical morphology; medical image processing; CT image region segmentation; CT images region segmentation; automatic region segmentation method; hit/miss transform; medical diagnostic imaging; morphological filtering; morphological gradient transform; multiresolution morphological decomposition; Application software; Biomedical imaging; Computed tomography; Filtering; Image reconstruction; Image segmentation; Medical diagnostic imaging; Morphology; Robustness; Telephony;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.652708

Filename

652708