DMCA
Medical image segmentation via coupled curve evolution equations with global constraints (2000)
| Venue: | IEEE Workshop On Mathematical Methods in Biomedical Image Analysis |
| Citations: | 19 - 4 self |
BibTeX
@INPROCEEDINGS{Yezzi00medicalimage,
author = {Anthony Yezzi and Andy Tsai and Alan Willsky},
title = {Medical image segmentation via coupled curve evolution equations with global constraints},
booktitle = {IEEE Workshop On Mathematical Methods in Biomedical Image Analysis},
year = {2000},
pages = {12--19}
}
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Abstract
In this work we modify the couple d curve evolution approach to snakes presente dby the authors in pre-vious work for bimodal and trimodal imagery through the intr oduction of glob al constr aints. The key idea, as b efor e, is to derive curve evolution equations which \pull apart " the values of one or more statistics within the image. However, by imposing a new constraint on the evolution of these statistics, we are able to seg-ment a larger class of medical imagery for which our original model would fail. 1
