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
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