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Multi-frame Super-resolution with Quality Self-assessment for Retinal Fundus Videos [chapter]

Thomas Köhler, Alexander Brost, Katja Mogalle, Qianyi Zhang, Christiane Köhler, Georg Michelson, Joachim Hornegger, Ralf P. Tornow
2014 Lecture Notes in Computer Science  
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

Shilpa Joshi, P. T. Karule
2017 Advances in Modelling and Analysis B  
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

Jinyang Sun, Fangjun Luan, Hanhui Wu
2015 International Journal of Biomedical Imaging  
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

Yong-Li Xian, Yun Dai, Chun-Ming Gao, Rui Du
2017 Journal of Biomedical Optics  
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

Algimantas Krisciukaitis, Robertas Petrolis, Daiva Stanislovaitiene, Dalia Zaliuniene
2014 Proceedings of the International Conference on Bioimaging  
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

Arulmozhivarman Pachiyappan, Undurti N Das, Tatavarti VSP Murthy, Rao Tatavarti
2012 Lipids in Health and Disease  
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

Chaithra Sree K, Geethika K.V, Anil Kumar K.R
2017 IJARCCE  
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  
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

Toshiaki Nakagawa, Takayoshi Suzuki, Yoshinori Hayashi, Yutaka Mizukusa, Yuji Hatanaka, Kyoko Ishida, Takeshi Hara, Hiroshi Fujita, Tetsuya Yamamoto
2008 Journal of Biomedical Optics  
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

Yandong Tang, Xiaomao Li, A. von Freyberg, G. Goch
2006 18th International Conference on Pattern Recognition (ICPR'06)  
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

Nicolas Jouandeau, Zhi Yan, Patrick Greussay, Beiji Zou, Yao Xiang
2014 Journal of Medical and Bioengineering  
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

Sandro I. De Zanet, Carlos Ciller, Tobias Rudolph, Philippe Maeder, Francis Munier, Aubin Balmer, Meritxell Bach Cuadra, Jens H. Kowal
2015 IEEE Transactions on Biomedical Engineering  
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

F. FanaxFemy, S. P. Victor
2014 International Journal of Computer Applications  
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

Wei-Hua WANG
2017 DEStech Transactions on Engineering and Technology Research  
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

Deepthi K Prasad, L. Vibha, K.R. Venugopal
2018 ICTACT Journal on Image and Video Processing  
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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