DocumentCode
348782
Title
A new fuzzy based flood-fill algorithm for 3D NMR brain segmentation
Author
Fathi, M. ; Hiltner, J.
Author_Institution
Dept. of Comput. Sci. & Comput. Eng. I, Dortmund Univ., Germany
Volume
4
fYear
1999
fDate
1999
Firstpage
881
Abstract
Segmentation of images is one of the most difficult problems in the field of image processing. Especially medical images contain several problems of inter-individual variability and uncrisp data. In the paper a segmentation algorithm, based on region growing methods (often called flood-fill methods), is proposed. The region growing is supported by fuzzy rules to improve segmentation results. Beside the algorithm some results of the segmentation are presented
Keywords
biomedical MRI; brain; fuzzy logic; image segmentation; medical image processing; 3D NMR brain image segmentation; fuzzy based flood-fill-algorithm; fuzzy rules; medical images; region growing methods; Biological neural networks; Biomedical engineering; Biomedical imaging; Computer science; Image edge detection; Image processing; Image segmentation; Nuclear magnetic resonance; Partitioning algorithms; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location
Tokyo
ISSN
1062-922X
Print_ISBN
0-7803-5731-0
Type
conf
DOI
10.1109/ICSMC.1999.812525
Filename
812525
Link To Document