A multiphase active contour model based on the Hermite transform for texture segmentation

2018 ◽  
Author(s):  
Erik Carbajal-Degante ◽  
Boris Escalante-Ramírez ◽  
Jimena Olveres
Keyword(s):  
Active Contour ◽  
Active Contour Model ◽  
Texture Segmentation ◽  
Hermite Transform ◽  
Model Based ◽  
Contour Model

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 with Edge Flow Vector for Texture Segmentation

2015 ◽  
Vol 781 ◽  
pp. 511-514
Author(s):  
Tanunchai Boonnuk ◽  
Sanun Srisuk ◽  
Thanwa Sripramong
Keyword(s):  
Medical Imaging ◽  
Active Contour ◽  
Active Contour Model ◽  
Texture Segmentation ◽  
Gradient Vector Flow ◽  
Gradient Vector ◽  
Texture Image ◽  
Contour Model ◽  
Flow Vector ◽  
Edge Flow

In this paper, we propose effective method for texture segmentation using active contour model with edge flow vector. This technique was applied from previous active contour model that uses gradient vector flow as external force. It was observed that our method provided better results for texture segmentation while a traditional active contour model and active contour model with gradient vector flow were not capable to be used with texture image. Thus, texture image such as medical imaging can be identified using active contour model with edge flow vector.

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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