DocumentCode
2174252
Title
Adaptive CT image segmentation using mathematical morphology
Author
Ji, T.Y. ; Wu, P.Z. ; Li, M.S. ; Zheng, H.R.
Author_Institution
Sch. of Electr. Power Eng., South China Univ. of Technol. (SCUT), Guangzhou, China
fYear
2013
fDate
17-18 Sept. 2013
Firstpage
92
Lastpage
96
Abstract
This paper proposes a generic scheme for CT image segmentation, which is based on mathematical morphology. After converting raw CT data into a gray scale image, morphological reconstruction and filtering techniques are employed to process the image, aiming at the accurate identification of the target. Simulation studies on insect CT data demonstrate that the proposed scheme is able to segment the target from the background with the presence of noise.
Keywords
computerised tomography; filtering theory; image reconstruction; image segmentation; mathematical morphology; medical image processing; adaptive CT image segmentation; computed tomography; filtering techniques; gray scale image; image processing; mathematical morphology; morphological reconstruction; Biomedical imaging; Computed tomography; Educational institutions; Frequency modulation; Image reconstruction; Image segmentation; Noise; CT image segmentation; mathematical morphology;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Electronic Engineering Conference (CEEC), 2013 5th
Conference_Location
Colchester
Type
conf
DOI
10.1109/CEEC.2013.6659452
Filename
6659452
Link To Document