DocumentCode
167754
Title
An improved C-V level set model
Author
Minfen Shen ; Jiachun Weng ; Qiong Zhang ; Jinyao Yang
Author_Institution
Shantou Polytech., Shantou, China
fYear
2014
fDate
8-9 May 2014
Firstpage
894
Lastpage
897
Abstract
The traditional geodesic active model with edge(C-V Model) can deal with topological change automatically. But C-V Model is sensitive to noise and inaccurate positioning of the edges in an image. This paper proposes a C-V model based on an improved Gaussian Laplace operator (LOG). The improved Gaussian Laplace operator can enhance the accuracy of the edge detection and the noise immunity. Experiments are showed that the proposed algorithm can achieve good segmentation effect.
Keywords
Gaussian processes; computational geometry; differential geometry; edge detection; image segmentation; numerical analysis; LOG; edge detection; geodesic active model with edge model; image segmentation effect; improved C-V level set model; improved Gaussian Laplace operator; noise immunity; Active contours; Filtering; Image edge detection; Image segmentation; Instruments; Reactive power; C-V Model; Improved LOG operator; noise immunity; segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Computer and Applications, 2014 IEEE Workshop on
Conference_Location
Ottawa, ON
Type
conf
DOI
10.1109/IWECA.2014.6845765
Filename
6845765
Link To Document