Title :
Fuzzy-region-segmentation
Author :
Ong, Hong Peow ; Rajapakse, Jagath C.
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
Abstract :
The paper introduces a complete segmentation algorithm based on fuzzy-region-growing (FRG). It serves to examine the efficacy of the FRG algorithm without incorporation of high level knowledge. The complete fuzzy segmentation procedure makes use of the fuzzy regions grown from different seeds to complete the automated image segmentation. Experimental results on simple synthetic and real MR images are shown to demonstrate the validity of the algorithm
Keywords :
biomedical MRI; fuzzy set theory; image segmentation; medical image processing; automated image segmentation; fuzzy-region-growing; fuzzy-region-segmentation; real MR images; synthetic MR images; Computer vision; Delay systems; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Image edge detection; Image segmentation; Machine vision; Propagation delay; Uncertainty;
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7044-9
DOI :
10.1109/IJCNN.2001.939562
