Active Contours with Adaptively Normal Biased Gradient Vector Flow External Force

2011 ◽  
Author(s):  
Hengbo Zhao ◽  
LiXiong Liu
Keyword(s):  
External Force ◽  
Active Contours ◽  
Gradient Vector Flow ◽  
Gradient Vector

scholarly journals Improved Algorithm for Gradient Vector Flow Based Active Contour Model Using Global and Local Information

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Jianhui Zhao ◽  
Bingyu Chen ◽  
Mingui Sun ◽  
Wenyan Jia ◽  
Zhiyong Yuan
Keyword(s):  
Force Field ◽  
External Force ◽  
Active Contour ◽  
Active Contours ◽  
Active Contour Model ◽  
Computational Cost ◽  
Local Information ◽  
Gradient Vector Flow ◽  
Gradient Vector ◽  
External Force Field

Active contour models are used to extract object boundary from digital image, but there is poor convergence for the targets with deep concavities. We proposed an improved approach based on existing gradient vector flow methods. Main contributions of this paper are a new algorithm to determine the false part of active contour with higher accuracy from the global force of gradient vector flow and a new algorithm to update the external force field together with the local information of magnetostatic force. Our method has a semidynamic external force field, which is adjusted only when the false active contour exists. Thus, active contours have more chances to approximate the complex boundary, while the computational cost is limited effectively. The new algorithm is tested on irregular shapes and then on real images such as MRI and ultrasound medical data. Experimental results illustrate the efficiency of our method, and the computational complexity is also analyzed.

Improved Gradient Vector Flow over Manifold for Image Segmentation Using Active Contours

2021 ◽  
Author(s):  
Xiaoteng Zhu ◽  
Ke Cheng ◽  
Qingfang Chen ◽  
Yuanquan Wang ◽  
Ziyang Zhang
Keyword(s):  
Image Segmentation ◽  
Active Contours ◽  
Gradient Vector Flow ◽  
Gradient Vector
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