DocumentCode
2835021
Title
Image Segmentation based on Improved Gradient Vector Flow
Author
Zhang, Hong ; Feng, Lingzhi ; Mu, Ying ; You, Yuhu
Author_Institution
Image Process. Center, Beihang Univ., Beijing
fYear
2008
fDate
Aug. 29 2008-Sept. 2 2008
Firstpage
765
Lastpage
769
Abstract
This paper presents a novel gradient vector flow calculation method and introduces the center position of initial contour line to segment target exactly. The method utilizes the center position of initial contour line and image features to calculate external energy; the contour line can search for and estimate the real edge no matter where the center position of initial contour line is. Experimental results show the method proposed can weaken influence from the center position of initial contour line, enhance the stability of iterative process and exactly segment interested target.
Keywords
edge detection; gradient methods; image segmentation; contour line; edge estimation; gradient vector flow; image segmentation; iterative process; Active contours; Active noise reduction; Image edge detection; Image processing; Image segmentation; Noise figure; Solid modeling; Stability; Surface fitting; Working environment noise; active contour model; gradient vector flow; image segmentation; implicit method;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
Conference_Location
Singapore
Print_ISBN
978-0-7695-3308-7
Type
conf
DOI
10.1109/ICCSIT.2008.177
Filename
4624971
Link To Document