scholarly journals A Level Set Method for Infrared Image Segmentation Using Global and Local Information

2018 ◽  
Vol 10 (7) ◽  
pp. 1039 ◽  
Author(s):  
Minjie Wan ◽  
Guohua Gu ◽  
Jianhong Sun ◽  
Weixian Qian ◽  
Kan Ren ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Level Set Method ◽  
Level Set ◽  
Infrared Image ◽  
Local Information ◽  
Global And Local ◽  
Infrared Image Segmentation

A LEVEL-SET METHOD BASED ON GLOBAL AND LOCAL REGIONS FOR IMAGE SEGMENTATION

2012 ◽  
Vol 26 (01) ◽  
pp. 1255004 ◽  
Author(s):  
YU QIAN ZHAO ◽  
XIAO FANG WANG ◽  
FRANK Y. SHIH ◽  
GANG YU
Keyword(s):  
Image Segmentation ◽  
Level Set Method ◽  
Level Set ◽  
Outer Region ◽  
Descent Method ◽  
Gaussian Kernel ◽  
Gradient Descent Method ◽  
Low Contrast ◽  
Global And Local ◽  
Cv Model

This paper presents a new level-set method based on global and local regions for image segmentation. First, the image fitting term of Chan and Vese (CV) model is adapted to detect the image's local information by convolving a Gaussian kernel function. Then, a global term is proposed to detect large gradient amplitude at the outer region. The new energy function consists of both local and global terms, and is minimized by the gradient descent method. Experimental results on both synthetic and real images show that the proposed method can detect objects in inhomogeneous, low-contrast, and noisy images more accurately than the CV model, the local binary fitting model, and the Lankton and Tannenbaum model.

New normalized nonlocal hybrid level set method for image segmentation

2017 ◽  
Vol 32 (4) ◽  
pp. 407-421
Author(s):  
Qiong Lou ◽  
Jia-lin Peng ◽  
De-xing Kong ◽  
Chun-lin Wang
Keyword(s):  
Image Segmentation ◽  
Level Set Method ◽  
Level Set
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