Title :
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
fDate :
31 Oct-3 Nov 1996
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;
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
DOI :
10.1109/IEMBS.1996.652708