MR image segmentation using active contour model incorporated with sobel edge detection

Honggang Zhang; Yunhong Wang; Qingjie Liu; Di Huang

doi:10.1007/978-3-662-48558-3_43

MR image segmentation using active contour model incorporated with sobel edge detection

Honggang Zhang^*
, Yunhong Wang
, Qingjie Liu
, Di Huang

^*Corresponding author for this work

School of Computer Science and Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

This paper proposes a segmentation method which combines Active contour model with Sobel edge detection. The introduction of distance regularized formulation eliminates the need for reinitialization when we minimize the energy function by using the level set method. We test our method on MR image and compare it with several methods in the literature. The results achieved are better than the ones of existing techniques, showing the effectiveness of the proposed method.

Original language	English
Title of host publication	Computer Vision CCF Chinese Conference, CCCV 2015, Proceedings
Editors	Xilin Chen, Hongbin Zha, Qiguang Miao, Liang Wang
Publisher	Springer Verlag
Pages	429-437
Number of pages	9
ISBN (Print)	9783662485576
DOIs	https://doi.org/10.1007/978-3-662-48558-3_43
State	Published - 2015
Event	1st Chinese Conference on Computer Vision, CCCV 2015 - Xian, China Duration: 18 Sep 2015 → 20 Sep 2015

Publication series

Name	Communications in Computer and Information Science
Volume	546
ISSN (Print)	1865-0929

Conference

Conference	1st Chinese Conference on Computer Vision, CCCV 2015
Country/Territory	China
City	Xian
Period	18/09/15 → 20/09/15

Keywords

Active contour model
Edge detection operator
Image segmentation
Level set method

Access to Document

10.1007/978-3-662-48558-3_43

Cite this

Zhang, H., Wang, Y., Liu, Q., & Huang, D. (2015). MR image segmentation using active contour model incorporated with sobel edge detection. In X. Chen, H. Zha, Q. Miao, & L. Wang (Eds.), Computer Vision CCF Chinese Conference, CCCV 2015, Proceedings (pp. 429-437). (Communications in Computer and Information Science; Vol. 546). Springer Verlag. https://doi.org/10.1007/978-3-662-48558-3_43

@inproceedings{e45695cc77db43ed8b215ba644d78d51,

title = "MR image segmentation using active contour model incorporated with sobel edge detection",

abstract = "This paper proposes a segmentation method which combines Active contour model with Sobel edge detection. The introduction of distance regularized formulation eliminates the need for reinitialization when we minimize the energy function by using the level set method. We test our method on MR image and compare it with several methods in the literature. The results achieved are better than the ones of existing techniques, showing the effectiveness of the proposed method.",

keywords = "Active contour model, Edge detection operator, Image segmentation, Level set method",

author = "Honggang Zhang and Yunhong Wang and Qingjie Liu and Di Huang",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2015.; 1st Chinese Conference on Computer Vision, CCCV 2015 ; Conference date: 18-09-2015 Through 20-09-2015",

year = "2015",

doi = "10.1007/978-3-662-48558-3\_43",

language = "英语",

isbn = "9783662485576",

series = "Communications in Computer and Information Science",

publisher = "Springer Verlag",

pages = "429--437",

editor = "Xilin Chen and Hongbin Zha and Qiguang Miao and Liang Wang",

booktitle = "Computer Vision CCF Chinese Conference, CCCV 2015, Proceedings",

address = "德国",

}

Zhang, H, Wang, Y , Liu, Q & Huang, D 2015, MR image segmentation using active contour model incorporated with sobel edge detection. in X Chen, H Zha, Q Miao & L Wang (eds), Computer Vision CCF Chinese Conference, CCCV 2015, Proceedings. Communications in Computer and Information Science, vol. 546, Springer Verlag, pp. 429-437, 1st Chinese Conference on Computer Vision, CCCV 2015, Xian, China, 18/09/15. https://doi.org/10.1007/978-3-662-48558-3_43

MR image segmentation using active contour model incorporated with sobel edge detection. / Zhang, Honggang; Wang, Yunhong ; Liu, Qingjie et al.
Computer Vision CCF Chinese Conference, CCCV 2015, Proceedings. ed. / Xilin Chen; Hongbin Zha; Qiguang Miao; Liang Wang. Springer Verlag, 2015. p. 429-437 (Communications in Computer and Information Science; Vol. 546).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - MR image segmentation using active contour model incorporated with sobel edge detection

AU - Zhang, Honggang

AU - Wang, Yunhong

AU - Liu, Qingjie

AU - Huang, Di

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2015.

PY - 2015

Y1 - 2015

N2 - This paper proposes a segmentation method which combines Active contour model with Sobel edge detection. The introduction of distance regularized formulation eliminates the need for reinitialization when we minimize the energy function by using the level set method. We test our method on MR image and compare it with several methods in the literature. The results achieved are better than the ones of existing techniques, showing the effectiveness of the proposed method.

AB - This paper proposes a segmentation method which combines Active contour model with Sobel edge detection. The introduction of distance regularized formulation eliminates the need for reinitialization when we minimize the energy function by using the level set method. We test our method on MR image and compare it with several methods in the literature. The results achieved are better than the ones of existing techniques, showing the effectiveness of the proposed method.

KW - Active contour model

KW - Edge detection operator

KW - Image segmentation

KW - Level set method

UR - https://www.scopus.com/pages/publications/84951287378

U2 - 10.1007/978-3-662-48558-3_43

DO - 10.1007/978-3-662-48558-3_43

M3 - 会议稿件

AN - SCOPUS:84951287378

SN - 9783662485576

T3 - Communications in Computer and Information Science

SP - 429

EP - 437

BT - Computer Vision CCF Chinese Conference, CCCV 2015, Proceedings

A2 - Chen, Xilin

A2 - Zha, Hongbin

A2 - Miao, Qiguang

A2 - Wang, Liang

PB - Springer Verlag

T2 - 1st Chinese Conference on Computer Vision, CCCV 2015

Y2 - 18 September 2015 through 20 September 2015

ER -

MR image segmentation using active contour model incorporated with sobel edge detection

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this