DocumentCode :
1927970
Title :
FCM Based Automatic Thresholding Algorithm to Segment the Brain MR Image
Author :
Cheng, Ching-Hsue ; Chen, XYou-Shyang ; Lin, Tzu-Cheng
Author_Institution :
Nat. Yunlin Univ. of Sci. & Technol., Touliu
Volume :
3
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
1371
Lastpage :
1376
Abstract :
Segmenting the various brain tissues is very valuable in the analysis of brain MR image data, and has a wide range of applications involving clinical analysis, visual inspection etc., it is a challenging due to poor image contrast and artifacts that result in missing or diffuse organ/tissue boundaries. A simple automatic thresholding algorithm based on FCM for segmentation of brain MR image is developed. The thresholds, determined by the information of the result of FCM and Otsu´ s thresholding method, is used to extract cerebrum region (interesting region) , and segment it by FCM. This paper performs the uniformity measure to the segmented image. The results show that the quality of interesting region of segmented images is satisfied. The proposed segmentation algorithm can not only overcome the noise of image, but also can extract the cerebrum region and segment.
Keywords :
brain; image segmentation; magnetic resonance imaging; medical image processing; automatic thresholding algorithm; brain MR image segmentation; brain tissues; clinical analysis; visual inspection; Cybernetics; Image segmentation; Information management; Machine learning; Machine learning algorithms; Fuzzy c-means; Magnetic Resonance Image; segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370358
Filename :
4370358
Link To Document :
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