Global and Local Signed Pressure Force Functions Active Contour Model Based on Entropy

2020 ◽  
pp. 55-67
Author(s):  
Preeti Tiwari ◽  
Rajeev Kumar Gupta ◽  
Ramgopal Kashyap
Keyword(s):  
Active Contour ◽  
Active Contour Model ◽  
Pressure Force ◽  
Model Based ◽  
Contour Model ◽  
Global And Local

scholarly journals A Novel Active Contour Model Guided by Global and Local Signed Energy-Based Pressure Force

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 59412-59426 ◽  
Author(s):  
Huaxiang Liu ◽  
Jiangxiong Fang ◽  
Zijian Zhang ◽  
Yongcheng Lin
Keyword(s):  
Active Contour ◽  
Active Contour Model ◽  
Pressure Force ◽  
Contour Model ◽  
Global And Local

An Improved Image Segmentation Active Contour Model

2014 ◽  
Vol 513-517 ◽  
pp. 3463-3467
Author(s):  
Li Fen Zhou ◽  
Chang Xu Cai
Keyword(s):  
Differential Equation ◽  
Partial Differential Equation ◽  
Image Segmentation ◽  
Active Contour ◽  
Active Contour Model ◽  
Local Region ◽  
Intensity Inhomogeneity ◽  
Contour Model ◽  
Global And Local ◽  
Region Information

The Chan-Vese (C-V) active contour model has low computational complexity, initialization and insensitive to noise advantagesand utilizes global region information of images, so it is difficult to handle images with intensity inhomogeneity. The Local binary fitting (LBF) model based on local region information has its certain advantages in mages segmentation of weak boundary or uneven greay.but , the segmentation results are very sensitive to the initial contours, In order to address this problem, this paper proposes a new active contour model with a partial differential equation, which integrates both global and local region information. Experimental results show that it has a distinctive advantage over C-V model for images with intensity inhomogeneity, and it is more efficient than LBF.

Novel active contour model based on multi-variate local Gaussian distribution for local segmentation of MR brain images

2017 ◽  
Vol 24 (6) ◽  
pp. 653-659
Author(s):  
Qiang Zheng ◽  
Honglun Li ◽  
Baode Fan ◽  
Shuanhu Wu ◽  
Jindong Xu
Keyword(s):  
Gaussian Distribution ◽  
Active Contour ◽  
Active Contour Model ◽  
Brain Images ◽  
Model Based ◽  
Contour Model ◽  
Mr Brain Images ◽  
Mr Brain

Active contour model based on local and global Gaussian fitting energy for medical image segmentation

Optik ◽  
2018 ◽  
Vol 158 ◽  
pp. 1160-1169 ◽  
Author(s):  
Wencheng Zhao ◽  
Xianze Xu ◽  
Yanyan Zhu ◽  
Fengqiu Xu
Keyword(s):  
Image Segmentation ◽  
Active Contour ◽  
Medical Image ◽  
Active Contour Model ◽  
Medical Image Segmentation ◽  
Model Based ◽  
Gaussian Fitting ◽  
Contour Model

Convex-relaxed active contour model based on localised kernel mapping

2017 ◽  
Vol 11 (11) ◽  
pp. 976-985 ◽  
Author(s):  
Wenchao Cui ◽  
Guoqiang Gong ◽  
Ke Lu ◽  
Shuifa Sun ◽  
Fangmin Dong
Keyword(s):  
Active Contour ◽  
Active Contour Model ◽  
Model Based ◽  
Contour Model ◽  
Kernel Mapping
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