Segmentation of volume images using a multiscale transform

T. Courtney, N. Ahuja

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish (US)
Title of host publicationTrack B
Subtitle of host publicationPattern Recognition and Signal Analysis
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Print)081867282X, 9780818672828
StatePublished - 1996
Event13th International Conference on Pattern Recognition, ICPR 1996 - Vienna, Austria
Duration: Aug 25 1996Aug 29 1996

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651


Other13th International Conference on Pattern Recognition, ICPR 1996

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition


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