DocumentCode
1749255
Title
Fuzzy-region-segmentation
Author
Ong, Hong Peow ; Rajapakse, Jagath C.
Author_Institution
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
Volume
2
fYear
2001
fDate
2001
Firstpage
1374
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-7044-9
Type
conf
DOI
10.1109/IJCNN.2001.939562
Filename
939562
Link To Document