New insight at level set & Gaussian mixture model for natural image segmentation

2011 ◽  
Vol 7 (3) ◽  
pp. 521-536 ◽  
Author(s):  
Zhenping Xie ◽  
Shitong Wang ◽  
Dewen Hu
Author(s):  
Yunjie Chen ◽  
Ning Cheng ◽  
Mao Cai ◽  
Chunzheng Cao ◽  
Jianwei Yang ◽  
...  

2019 ◽  
Vol 13 (01) ◽  
pp. 1950020
Author(s):  
Jinghong Wu ◽  
Sijie Niu ◽  
Qiang Chen ◽  
Wen Fan ◽  
Songtao Yuan ◽  
...  

We introduce a method based on Gaussian mixture model (GMM) clustering and level-set to automatically detect intraretina fluid on diabetic retinopathy (DR) from spectral domain optical coherence tomography (SD-OCT) images in this paper. First, each B-scan is segmented using GMM clustering. The original clustering results are refined using location and thickness information. Then, the spatial information among every consecutive five B-scans is used to search potential fluid. Finally, the improved level-set method is used to obtain the accurate boundaries. The high sensitivity and accuracy demonstrated here show its potential for detection of fluid.


2017 ◽  
Vol 21 (3) ◽  
pp. 869-878 ◽  
Author(s):  
Hui Bi ◽  
Hui Tang ◽  
Guanyu Yang ◽  
Huazhong Shu ◽  
Jean-Louis Dillenseger

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