Title :
Segmentation: artificial life and watershed transform approach
Author :
Choi, C. ; Wirth, M. ; Jennings, A.
Author_Institution :
R. Melbourne Inst. of Technol., Vic., Australia
Abstract :
In the progress towards automatic cancer pre-screening, it is essential to achieve successful image segmentation prior to cancer pre-screening. A medical image segmenter system, which obtains local information from artificial life region labelling and global information using mathematical morphology is described. Also, we describe progress towards an automatic segmentation system that employs objective segmentation measures
Keywords :
medical image processing; artificial life region labelling; automatic cancer prescreening; automatic segmentation system; global information; image segmentation; local information; mathematical morphology; medical image segmenter system; objective segmentation measures;
Conference_Titel :
Image Processing and Its Applications, 1997., Sixth International Conference on
Conference_Location :
Dublin
Print_ISBN :
0-85296-692-X
DOI :
10.1049/cp:19970918
