DocumentCode :
557741
Title :
An active contour method for tubular object segmentation
Author :
Zhu, Linlin ; Fan, Huijie ; Tang, Yandong ; Han, Jianda ; Li, Rouxi
Author_Institution :
State key Lab. of Robot., Shenyang Inst. of Autom., Shenyang, China
Volume :
3
fYear :
2011
fDate :
15-17 Oct. 2011
Firstpage :
1184
Lastpage :
1188
Abstract :
There are many tubular objects in image segmentation problems, such as vessel, road, and river and so on. In this paper, an active contour method is proposed for tubular object segmentation. This method is inspired by capillarity and based on the tubular structure enhancement. We get the tubular structure response direction as well as the response intensity by analyzing the Hessian matrices, and the response result is incorporated in the active contour model to control the curve´s evolution just along the tubular object´s extend direction. This active contour method is fit for tubular object segmentation, the experiments results valid our method.
Keywords :
Hessian matrices; edge detection; image enhancement; image segmentation; Hessian matrix; active contour; capillarity; curve evolution; image segmentation; response intensity; tubular object segmentation; tubular structure enhancement; Active contours; Eigenvalues and eigenfunctions; Equations; Image segmentation; Level set; Object segmentation; Vectors; capillarity; curve evolution; enhancement; segmentation; tubular object;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
Type :
conf
DOI :
10.1109/CISP.2011.6100415
Filename :
6100415
Link To Document :
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