Feature guided Gaussian mixture model with semi-supervised EM and local geometric constraint for retinal image registration

Information Sciences

Volumn 417, Issue , 2017, Pages 128-142

  Ma, Jiayi ^a,b   Jiang, Junjun ^c   Liu, Chengyin ^d   Li, Yansheng ^a  

^a WUHAN UNIVERSITY   (China)

^b BEIJING INSTITUTE OF TECHNOLOGY   (China)

^c CHINA UNIVERSITY OF GEOSCIENCES   (China)

^d HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Feature guided; GMM; Local geometric constraint; Retina image registration; Semi supervised EM

Indexed keywords

DIAGNOSIS; GAUSSIAN DISTRIBUTION; GEOMETRY; IMAGE REGISTRATION; IMAGE SEGMENTATION; ITERATIVE METHODS; LINEAR TRANSFORMATIONS; MATHEMATICAL TRANSFORMATIONS; MAXIMUM LIKELIHOOD; MAXIMUM LIKELIHOOD ESTIMATION; OPHTHALMOLOGY;

EXPECTATION - MAXIMIZATIONS; FEATURE GUIDED; GEOMETRIC CONSTRAINT; NON-RIGID TRANSFORMATION; REPRODUCING KERNEL HILBERT SPACES; RETINAL IMAGE REGISTRATIONS; SEMI-SUPERVISED; TRANSFORMATION ESTIMATION;

IMAGE PROCESSING;

EID: 85023197929     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2017.07.010     Document Type: Article

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