DocumentCode :
2973268
Title :
New efficient image segmentation algorithm: competitive region growing of initial regions
Author :
Alakuijala, J. ; Laitinen, J. ; Sallinen, S. ; Helminen, H.
Author_Institution :
Varian-Dosetek Oy, Espoo, Finland
Volume :
1
fYear :
1995
fDate :
20-25 Sep 1995
Firstpage :
409
Abstract :
Presents a new simple and efficient region growing algorithm and its superior results against the current medical region growing practice. The algorithm uses initial regions and expands them to their natural borders. If all the required regions can be initially enumerated and roughly located the algorithm does not need any control parameters and gives optimal result. The algorithm was designed for both interactive and knowledge-based segmentation of volumetric medical images
Keywords :
Gaussian noise; edge detection; image resolution; image segmentation; interactive systems; medical expert systems; medical image processing; unsupervised learning; competitive region growing; efficient image segmentation algorithm; initial regions; interactive segmentation; knowledge-based segmentation; medical region growing practice; natural borders; volumetric medical images; Anisotropic magnetoresistance; Biomedical image processing; Biomedical imaging; Histograms; Image segmentation; Pixel; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
Type :
conf
DOI :
10.1109/IEMBS.1995.575174
Filename :
575174
Link To Document :
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