DocumentCode :
2509250
Title :
An Improved Fluid Vector Flow for Cavity Segmentation in Chest Radiographs
Author :
Xu, Tao ; Cheng, Irene ; Mandal, Mrinal
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
fYear :
2010
fDate :
23-26 Aug. 2010
Firstpage :
3376
Lastpage :
3379
Abstract :
Fluid vector flow (FVF) is a recently developed edge-based parametric active contour model for segmentation. By keeping its merits of large capture range and ability to handle acute concave shapes, we improved the model from two aspects: edge leakage and control point selection. Experimental results of cavity segmentation in chest radiographs show that the proposed method provides at least 8% improvement over the original FVF method.
Keywords :
edge detection; image segmentation; radiography; vectors; acute concave shapes; cavity segmentation; chest radiographs; control point selection; edge leakage; edge-based parametric active contour; fluid vector flow; Active contours; Cavity resonators; Dynamics; Force; Image edge detection; Image segmentation; Mathematical model; active contours; cavity; fluid vector flow; snakes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
ISSN :
1051-4651
Print_ISBN :
978-1-4244-7542-1
Type :
conf
DOI :
10.1109/ICPR.2010.824
Filename :
5597502
Link To Document :
بازگشت