DocumentCode :
3539496
Title :
Analysis of contour evolution methods for segmentation of medical images
Author :
Divya, S. ; Jayanthi, K.B.
Author_Institution :
Dept. of Electron. & Commun. Eng., K.S. Rangasamy Coll. of Technol., Namakkal, India
fYear :
2015
fDate :
19-20 March 2015
Firstpage :
1
Lastpage :
4
Abstract :
Deformable models are promising and robustly researched computer-assisted medical image analysis technique. Here the segmentation is done by using the contour evolution method. The control points are automatically placed by thresholding and then the contour is applied to segment the particular area. The contour is applied for four prior models to segment the heart. Among the various prior models, shape is the most important to acquire the heart shape accurately. This approach is used to segment the heart from the computed tomographic image. Finally the analysis is performed by comparing the result with other deformable models.
Keywords :
cardiology; computerised tomography; image segmentation; medical image processing; computed tomographic image; computer-assisted medical image analysis; contour evolution methods; deformable models; heart shape; medical image segmentation; Biomedical imaging; Deformable models; Image segmentation; Minimization; Robustness; control points; deformable model; shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6817-6
Type :
conf
DOI :
10.1109/ICIIECS.2015.7192938
Filename :
7192938
Link To Document :
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