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
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;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.812525
