DocumentCode :
2552854
Title :
A multiscale description of image structure for segmentation of biomedical images
Author :
Coggins, James M.
Author_Institution :
Dept. of Comput. Sci., North Carolina Univ., Chapel Hill, NC, USA
fYear :
1990
fDate :
22-25 May 1990
Firstpage :
123
Lastpage :
130
Abstract :
A representation of image intensity structure, the multiscale orientation field (MOF), is described, and its application to biomedical image segmentation is discussed. The MOF is composed of orientation vectors at every pixel and at multiple scales. The vectors are computed from the outputs of an artificial visual system composed of spatial filters whose design is described. An abstract feature space for orientation measurement is defined, and a filter sensitivity function that yields a desirable mapping into the feature space is described
Keywords :
computer vision; computerised pattern recognition; computerised picture processing; medical computing; abstract feature space; artificial visual system; biomedical image segmentation; filter sensitivity function; image intensity structure; image structure; medical images; multiple scales; multiscale description; multiscale orientation field; orientation measurement; orientation vectors; spatial filters; Biomedical computing; Biomedical imaging; Biomedical measurements; Extraterrestrial measurements; Filters; Image segmentation; Labeling; Pattern recognition; Pixel; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visualization in Biomedical Computing, 1990., Proceedings of the First Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-8186-2039-0
Type :
conf
DOI :
10.1109/VBC.1990.109311
Filename :
109311
Link To Document :
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