Segmentation of volume images using a multiscale transform

Author

Courtney, Tod ; Ahuja, Narendra

Author_Institution

Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA

Volume

2

fYear

1996

fDate

25-29 Aug 1996

Firstpage

432

Abstract

This paper presents a new method for multiscale segmentation of volume images. The segmentation is achieved using a recent nonlinear transform which leads to well-characterized regions at different spatial and intensity scales. The detected three-dimensional regions are closed and are homogeneous relative to their surround. A pyramid is generated containing the region information extracted across a range of homogeneity scales. The pyramid represents the multiscale volumetric structure. Experimental results are given for magnetic resonance data as well as video sequences

Keywords

biomedical NMR; image segmentation; image sequences; transforms; homogeneity scales; intensity scales; magnetic resonance data; multiscale segmentation; multiscale transform; multiscale volumetric structure; nonlinear transform; pyramid; spatial scales; three-dimensional region detection; video sequences; volume image segmentation; well-characterized regions; Biomedical imaging; Brain; Charge coupled devices; Charge-coupled image sensors; Data mining; Humans; Image segmentation; Magnetic resonance imaging; Photometry; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1996., Proceedings of the 13th International Conference on

Conference_Location

Vienna

ISSN

1051-4651

Print_ISBN

0-8186-7282-X

Type

conf

DOI

10.1109/ICPR.1996.546863

Filename

546863