DocumentCode :
3153685
Title :
Medical Image Segmentation Based on Watershed Transformation and Rough Sets
Author :
Li, Ran
Author_Institution :
Dept. of Electron. & Commun. Eng., North China Electr. Power Univ., Baoding, China
fYear :
2010
fDate :
18-20 June 2010
Firstpage :
1
Lastpage :
5
Abstract :
Traditional watershed algorithm often causes over-segmentation because of its high sensitivity to the weak edge and the noise. To overcome this drawback and in light of the characteristics of medical image, a new segmentation algorithm based on watershed transformation and rough set theory is proposed. The original image is partitioned into the edge-detail sub-image and smooth sub-image according to indiscernibility relation of rough set theory. Two enhancement methods are designed for the two sub-images, and watershed transformation is used for the further segmentation in the smooth sub-image. Finally, combine the two processed sub-images to obtain the segmentation result. The proposed algorithm has been executed on Magnetic Resonance Imaging (MRI) image, the analysis of compare between conventional watershed algorithm and the proposed algorithm is given. The experimental result shows that this method is efficient to restrain the over-segmentation, thus obtaining good segmentation results.
Keywords :
biomedical MRI; edge detection; image segmentation; medical image processing; rough set theory; edge detail subimage; indiscernibility relation; magnetic resonance image; medical image segmentation; rough set theory; smooth subimage; watershed algorithm; watershed transformation; Algorithm design and analysis; Biomedical imaging; Design methodology; Image analysis; Image segmentation; Magnetic analysis; Magnetic resonance imaging; Partitioning algorithms; Rough sets; Set theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
ISSN :
2151-7614
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
Type :
conf
DOI :
10.1109/ICBBE.2010.5518119
Filename :
5518119
Link To Document :
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