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