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Multi-frame Super-resolution with Quality Self-assessment for Retinal Fundus Videos
[chapter]
2014
Lecture Notes in Computer Science
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Acknowledgements The authors gratefully acknowledge funding of the Erlangen Graduate School in Advanced Optical Technologies (SAOT) by the German National Science Foundation (DFG) in the framework of the ...
= p i ∈P(x) σ i • q(p i ) Local quality score q(p i ) adaptively weighted by local variance σ i estimated from of the vesselness in p i [3] • Automatic selection of regularization weight λ: λ = arg max ...
registration to model eye motion and inhomogeneous illumination • Image quality self-assessment for automatic selection of regularization parameter • Quality of super-resolved low-cost images comparable ...
doi:10.1007/978-3-319-10404-1_81
fatcat:jhok43czljanfkyltlozpurlqe
Review of Preprocessing Techniques for Fundus Image Analysis
2017
Advances in Modelling and Analysis B
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and diagnosis of DR according to the analysis of the fundus images. ...
The preprocessing techniques used in the previous articles of the fundus images are shortly discussed in the following section. ...
Automatic mask generation was employed to avoid processing of the black border in the images in [96] [97] . ...
doi:10.18280/ama_b.600306
fatcat:5m4kyfr6qrekvnrx4jlxh3alau
Optic Disc Segmentation by Balloon Snake with Texture from Color Fundus Image
2015
International Journal of Biomedical Imaging
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A well-established method for diagnosis of glaucoma is the examination of the optic nerve head based on fundus image as glaucomatous patients tend to have larger cup-to-disc ratios. ...
We replace image force in the snake with image texture and the initial contour of the balloon snake is inside the optic disc to avoid the PPA. ...
Conflict of Interests The authors declare that there is no conflict of interests regarding the publication of this paper. ...
doi:10.1155/2015/528626
pmid:25861249
pmcid:PMC4378594
fatcat:oigr2rk7ynfenmat2unrsyy6fu
Dual-wavelength retinal images denoising algorithm for improving the accuracy of oxygen saturation calculation
2017
Journal of Biomedical Optics
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First, noise parameters were estimated by mixed Poisson–Gaussian (MPG) noise model. ...
The following simulation and analysis indicate that MPG noise in the retinal images can lead to erroneously low measurement for SO 2 , and the denoised images can provide more accurate grayscale values ...
Results and Evaluation
Parameter Estimation Results for Dual-Wavelength Retinal Images First, the parameters a and b in the MPG noise model are estimated for the dual-wavelength retinal images. ...
doi:10.1117/1.jbo.22.1.016004
pmid:28056145
fatcat:kgsoejp4inhl7gwibppp5i3wta
Principal Component Analysis based Colour Scheme Optimisation in Eye Fundus Images - Contrast Enhancement for Detection and Evaluation of Drusen in Age Related Macular Degeneration Patients' Follow up
english
2014
Proceedings of the International Conference on Bioimaging
english
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enhancement in the images. ...
Efficiency of the patient status monitoring in Age Related Macular Degeneration cases, based on evaluation of morphological properties eye fundus images, can be significantly increased by specific contrast ...
Values of the contrast-to-noise estimates for this image are presented in table 2. ...
doi:10.5220/0004910500660069
dblp:conf/biostec/KrisciukaitisPSZ14
fatcat:bgqqlwdv25bkzpov4sbd5lrrva
Automated diagnosis of diabetic retinopathy and glaucoma using fundus and OCT images
2012
Lipids in Health and Disease
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Automatic screening will help the doctors to quickly identify the condition of the patient in a more accurate way. ...
Early detection of glaucoma is done by estimating the Retinal Nerve Fiber Layer (RNFL) thickness from the OCT images of the patient. ...
Das is in receipt of a Ramalingaswami Fellowship of the Department of Biotechnology, New Delhi, India during the tenure of this study. ...
doi:10.1186/1476-511x-11-73
pmid:22695250
pmcid:PMC3477058
fatcat:ga4rifldzfc6jjsyzilneegzry
Review: Segmentation of Fovea and Optic Disc
2017
IJARCCE
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Retinal image analysis is one of the crucial topics in medical image processing. ...
Different approaches have been developed for fovea and optic disc detection; few of the approaches are discussed in this paper.We focused on automatic segmentation of Optic disc and fovea from fundus images ...
Also we appreciate the authors of the reference documents that turned out to be a source of resources that helped us improve our study. ...
doi:10.17148/ijarcce.2017.6597
fatcat:nszwz4mpkre7zajxbobzchdrxy
An Effective Screening System to Detect Diabetic Retinopathy by using Dehazing Technique
2020
International journal of recent technology and engineering
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In this work, we proposed the Dehazing method of fundus image to detect and classify the disease condition based on changes in blood vessels using thresholding segmentation technique using mean square ...
The abnormality in the blood vessels of diabetics, a way will be paved for prompt diagnosis of DR. ...
in the fundus image. ...
doi:10.35940/ijrte.d4297.018520
fatcat:ssxh5r3s4bhirjto6oqxzl2rxi
Quantitative depth analysis of optic nerve head using stereo retinal fundus image pair
2008
Journal of Biomedical Optics
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In this study, we investigate an automatic reconstruction method for the quantitative depth measurement of the ONH from a stereo retinal fundus image pair. ...
Depth analysis of the optic nerve head ͑ONH͒ in the retinal fundus is important for the early detection of glaucoma. ...
The authors would like to acknowledge the contribution of R. Shiraki of Gifu University for the acquisition of the HRT data. ...
doi:10.1117/1.3041711
pmid:19123672
fatcat:ddmasbecmbf7zpr5dzuj2tye5i
Automatic Segmentation of the Papilla in a Fundus Image Based on the C-V Model and a Shape Restraint
2006
18th International Conference on Pattern Recognition (ICPR'06)
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For computer aided Glaucoma diagnostics it is essential to robustly and automatically detect and segment the main regions, e.g. the papilla (optic nerve head), in a fundus image. ...
Experiments verify that the method shows a good performance in detecting the papilla shapes and computing the shape feature parameters within a broad variety of fundus images. ...
The procedure of papilla shape detection in a fundus image The procedure of papilla shape detection within a fundus image, in practice, includes two steps: 1) automatic localization of the papilla center ...
doi:10.1109/icpr.2006.307
dblp:conf/icpr/TangLFG06
fatcat:lybaoy4xtncrhdddgktahjbgte
Retinal Vessel Segmentation Based on Adaptive Random Sampling
2014
Journal of Medical and Bioengineering
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This algorithm consists in taking an adequate number of random samples in fundus images, and all the samples are contracted to the position of the blood vessels, then the retinal vessels will be revealed ...
This paper presents a method for the extraction of blood vessels from fundus images. ...
In our method, the color fundus image is converted to a magenta channel image in CMYK (Cyan, Magenta, Yellow and blacK) color model. ...
doi:10.12720/jomb.3.3.199-202
fatcat:3gzp6ijepfgslpcp5m5ojhsdva
Landmark Detection for Fusion of Fundus and MRI Toward a Patient-Specific Multimodal Eye Model
2015
IEEE Transactions on Biomedical Engineering
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This article's contributions include automatic detection of the optic disc, the fovea, the optic axis and an automatic segmentation of the vitreous humor of the eye. ...
Yet, these images are often complementary and do express the same pathologies in a different way. Some pathologies are only visible in a particular modality. ...
Step 6&7: The optic disc and the fovea are automatically detected in the Fundus. Step 8: A virtual Fundus image is generated from the MRI. Step 9: Virtual and Fundus image are registered. ...
doi:10.1109/tbme.2014.2359676
pmid:25265602
fatcat:sigfyfii5vfcrcfa2byltbsfgy
Feature Extraction using Contourlet Transform for Glaucomatous Image Classification
2014
International Journal of Computer Applications
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Hence the disease must be identified in the initial stages. The digital image processing techniques automatically identify the initial stage of the disease using the fundus images of eye. ...
It removes the noise and keeps the edges of the image. ...
doi:10.5120/16694-6819
fatcat:4vyei57qxnfsdnbjiubccvfkbq
A New Method to Segment Retinal Vessel Based on Gabor Wavelet
2017
DEStech Transactions on Engineering and Technology Research
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The performance of the approach is estimated by two publicly retinal fundus image databases DRIVE and STARE. The results show that the new approach obtains better segmentation effect. ...
First, the green channel is extracted from a retinal fundus image, then, the method use Gabor wavelet transformation to enhance the contrast of the vessel, finally, a shelf adaptive threshold segmentation ...
(Ycstc2013ad5001), the science foundation of Chongqing University of Arts and Science under grant No.Y2015RJ38. ...
doi:10.12783/dtetr/iceeac2017/10746
fatcat:bm2vdnpmybhvblabp5vucnge7m
MULTISTAGE CLASSIFICATION OF DIABETIC RETINOPATHY USING FUZZYNEURAL NETWORK CLASSIFIER
2018
ICTACT Journal on Image and Video Processing
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It includes pre-processing of the image, segmentation of region of interest, feature extraction and classification. ...
Diabetic Retinopathy (DR) is complicated disorder in human retina which is affected due to an increasing amount of insulin in blood that results in vision impairment. ...
Fuzzy image processing technique was developed to automatically detect the DR and maculopathy in retinal fundus images [13] . ...
doi:10.21917/ijivp.2018.0244
fatcat:qgijtkwibbfzrmng6kbqi5kl2e
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