Title :
An improved C-V level set model
Author :
Minfen Shen ; Jiachun Weng ; Qiong Zhang ; Jinyao Yang
Author_Institution :
Shantou Polytech., Shantou, China
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;
Conference_Titel :
Electronics, Computer and Applications, 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
DOI :
10.1109/IWECA.2014.6845765
