Feature guided Gaussian mixture model with semi-supervised EM and local geometric constraint for retinal image registration
type: Item
instance of: scholarly article
title: Feature guided Gaussian mixture model with semi-supervised EM and local geometric constraint for retinal image registration
zbMATH Open document ID: 1444.92054
author: Jiayi Ma
author: Junjun Jiang
author: Chengyin Liu
author: Yansheng Li
published in: Information Sciences
publication date: 2020-07-02T00:00:00Z
Mathematics Subject Classification ID: 92C55
zbMATH DE Number: 7216929
zbMATH Keywords: retina image registration
zbMATH Keywords: feature guided
zbMATH Keywords: semi-supervised EM
zbMATH Keywords: local geometric constraint
zbMATH Keywords: GMM
describes a project that uses: SIFT
describes a project that uses: SIRF
describes a project that uses: SURF
MaRDI profile type: Publication
full work available at URL: j.ins.2017.07.010
OpenAlex ID: W2735299109
cites work: Multidimensional binary search trees used for associative searching
cites work: SIRF: Simultaneous Satellite Image Registration and Fusion in a Unified Framework
cites work: A new point matching algorithm for non-rigid registration
cites work: Q4139463
cites work: Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples
cites work: Regularized vector field learning with sparse approximation for mismatch removal
cites work: Robust Point Matching via Vector Field Consensus
cites work: Non-Rigid Point Set Registration by Preserving Global and Local Structures
cites work: On Learning Vector-Valued Functions
cites work: Text classification from labeled and unlabeled documents using EM
cites work: Optic disk feature extraction via modified deformable model technique for glaucoma analysis
DOI: 10.1016/J.INS.2017.07.010
description: scientific article; zbMATH DE number 7216929