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Survey on Detection of Glaucoma in Fundus Image by Segmentation and Classification

D. Vijayasekar, S. Dhivya, S. Dhanalakshmi, Dr. S. Karthik
2015 International Journal of Engineering Research and  
This paper addresses the survey on various methods of segmentation and classification technique to detect the glaucoma from the retinal images based on the Cup to Disc Ratio (CDR) evaluation of preprocessed  ...  This survey paper presents an image processing technique for segmentation of optic disc and cup as well as diagnosis of glaucoma using obtained the features from the image based on the study of adaptive  ...  Superpixel classification based segmentation of optic disc and optic cup The superpixel classification is a technique to classify the image based on their category as well as segment the specific region  ... 
doi:10.17577/ijertv4is090657 fatcat:cbbxwxguavfinp466qcwpm2j5y

Glucoma Detection using Image Processing Techniques

Rathva Rupal
2018 International Journal for Research in Applied Science and Engineering Technology  
The techniques mention in the current report is based on the HSV retinal images and the histogram analysis and Expectation Maximization Algorithm are used for detection of region of interest.  ...  The techniques used for the automatic detection of glaucoma are applying the RGB images of Retinal funds images.  ...  DATASET RIMONE (An Open Retinal Image Database for Optic Nerve Evaluation) [9] is the fundus image dataset based on the ONH centred images.  ... 
doi:10.22214/ijraset.2018.4701 fatcat:t5pc5bvesrffjen5ucte5rejue

Automatic Detection of Optic Disc in Retinal Image by Using Keypoint Detection, Texture Analysis, and Visual Dictionary Techniques

Kemal Akyol, Baha Şen, Şafak Bayır
2016 Computational and Mathematical Methods in Medicine  
Whereas optic disc detection is fairly an easy process in normal retinal images, detecting this region in the retinal image which is diabetic retinopathy disease may be difficult.  ...  We presented a novel approach for efficient and accurate localization of optic disc in retinal images having noise and other lesions.  ...  In [22] , the authors presented a fractal based technique for optic disc detection from the retinal fundus image.  ... 
doi:10.1155/2016/6814791 pmid:27110272 pmcid:PMC4826680 fatcat:7tazcsqpfvcyjm6nfnfjgkby7a

Multiple Feature Sets and SVM Classifier for the Detection of Diabetic Retinopathy Using Retinal Images

2018 Multimedia Research  
In this paper, we have proposed SVM classifier for diagnosing the diabetics from retinal images using two features like optic disc and blood vessel.  ...  Once the noise free image is generated, the segmentation processed is applied for detecting the both optic disc and blood vessel areas.  ...  Fig. 2 . 2 SVM Segmented image based optic disc d) segmented image based blood vessel Fig. 3.  ... 
doi:10.46253/ fatcat:alfaibvnvfe3xbquoalfizxooq

Automated detection of optic disc in retinal fundus images using gabor filter kernels

Baha Sen, Kemal Akyol, Safak Bayir, Hilal Kaya
2015 Global Journal of Computer Sciences Theory and Research  
However, determining the optic disc on a retinal image including the diabetic retinopathy disease is a more difficult process.  ...  This study is based on a dataset that has 89 images including diabetic retinopathy disease.  ...  Acknowledgements Thanks go to the DIARETDB1 project for making their images publicly available.  ... 
doi:10.18844/gjcs.v5i1.32 fatcat:3wmac32we5agnllm5dwwzmva5m

A Review Paper on Detection of Optic Disc Damage using Retinal Images

Apeksha R.Padaria, Bhailal Limbasiya
2015 International Journal of Computer Applications  
The paper provides overview of the different methods for optic cup and optic disc detection from retinal image.  ...  Localization of Optic Disc (OD) simplifies the segmentation. OD and OC detection is a primary step in developing an automated algorithm for glaucoma detection.  ...  DIFFERENT METHODS FOR DETECTING OF OPTIC CUP AND OPTIC DISC FROM RETINAL IMAGE In 2014, Hafsah Ahmad performed a work, "Detection of Glaucoma using Retinal Fundus Images" [3] .  ... 
doi:10.5120/19595-1391 fatcat:gj7rssd6ibdohnotqy7apijozq

Automatic Detection of Glaucoma in Retinal Fundus Images through Image Processing and Data Mining Techniques

R. Geetha, Sugirtharani S., Lakshmi B.
2017 International Journal of Computer Applications  
Optic disc segmentation methodology attains an average accuracy of 99.33%. Glaucoma detection accuracy reaches a maximum of 96.42%.  ...  This work involves segmentation of blood vessels, segmentation of optic disc through proposed maximum voting of three segmentation algorithms (K-Means, Wavelet and Histogram based), segmentation of optic  ...  In 2014, GeethaRamani et al [8] proposed a framework based on image features to detect Glaucoma.  ... 
doi:10.5120/ijca2017914130 fatcat:4s3oupwjnzhr7g3ceasnccd3hq


Madhura Jagannath Paranjpe .
2014 International Journal of Research in Engineering and Technology  
This paper reviews various methods of diabetic retinopathy detection and classification into different stages based on severity levels and also, various image databases used for the research purpose are  ...  Though the Manual screening methods are available, they are time consuming and inefficient on a large image database of patients. Moreover, it demands skilled professionals for the diagnosis.  ...  Kakatkar, Professor in Department of Electronics and Telecommunication Engineering, Sinhgad college of Engineering, Wadgaon (BK), Pune-41, for the motivation, technical suggestions and constructive criticism  ... 
doi:10.15623/ijret.2014.0303115 fatcat:zlrhffjh3jgtfmhl2ssnsvkfia

Automatic Detection of Exudates in Color Fundus Retinopathy Images

C. P. Reshma Chand, J. Dheeba
2015 Indian Journal of Science and Technology  
Here, optic disc segmentation is performed, which helps in providing better result by avoiding the misclassification of optic disc as lesions.  ...  Through this system, the abnormal retinal images can be identified in its initial stage and an accurate assessment of retinal disease is possible.  ...  Edge detection is used to identify the image pixels that are on the optic disc of the retinal image.  ... 
doi:10.17485/ijst/2015/v8i26/81049 fatcat:ixgklh6wsbbivplc7zzadn44xa

Automated detection and classification of major retinal vessels for determination of diameter ratio of arteries and veins

Chisako Muramatsu, Yuji Hatanaka, Tatsuhiko Iwase, Takeshi Hara, Hiroshi Fujita, Nico Karssemeijer, Ronald M. Summers
2010 Medical Imaging 2010: Computer-Aided Diagnosis  
Image features were extracted from the vessel segments from quarter-disc to one disc diameter from the edge of optic discs.  ...  Images used in this study were obtained from DRIVE database, which consists of 20 cases each for training and testing vessel detection algorithms.  ...  Classification of arteries and veins Japanese guideline for reading retinal fundus images for hypertension states that the A/V ratio should be measured on vessels in the region from quarter-disc to one  ... 
doi:10.1117/12.843898 dblp:conf/micad/MuramatsuHIH010 fatcat:xaya73g5lnamva2cp4ru6qc63m

Detection of Optical Disc and Exudates in Colour Fundus Images

Marykutty Cyriac, B. Karthik
2015 Indian Journal of Science and Technology  
A position based approach is combined with morphological operations for extracting the optical disc and detect the exudates.  ...  One of the visual indications for the presence of diabetic retinopathy is the exudates in the retina area of Fundus images.  ...  The main contribution in this paper is the development of a position based approach for removing the optical disc from the retinal image.  ... 
doi:10.17485/ijst/2015/v8i32/87492 fatcat:bvq7schnuzeo3pn46euod24zcu

Computer Aided Diagnostic System for Diabetic Retinopathy Detection using Image Processing and Artificial Intelligence

Anitha T Nair, Arun Kumar M N, Anitha M L, Anil Kumar M N
2021 Zenodo  
Early detection of DR from retinal images is a challenging task. Medical image examination is the most effective method for diagnosis of DR.  ...  Ophthalmologist need to analyze mass retinal images to discover the anomalies, for example, spilling veins, retinal swelling(macular edema), greasy stores on the retina (exudates), and changes in the veins  ...  [78] used LFSA to reconstruct new optic disc images and a generated spectrum was used for classification. Classification accuracy of 99% reported on Messidor dataset. Liskowski et al.  ... 
doi:10.5281/zenodo.4900424 fatcat:lq4zqvc2pnhvvkkrkivw7g4s3u

Optic nerve head segmentation using fundus images and optical coherence tomography images for glaucoma detection

T. R. Ganesh Babu, S. Shenbaga Devi, R. Venkatesh
2015 Biomedical Papers of the Faculty of Medicine of Palacky University  
This paper presents a novel method for glaucoma detection using digital fundus image and optical coherence tomography (OCT) image. Method.  ...  The first section focuses on the features such as cup to disc ratio (CDR) and the inferior superior nasal temporal (ISNT) ratio which were obtained from fundus images.The above features were used for classifying  ...  AUTOMATIC DETECTION OF GLAUCOMA USING OCT IMAGES BASED ON FEATURES OF OPTIC NERVE HEAD Determination of CDR In this study, two methods to calculate the CDR from OCT images are presented.  ... 
doi:10.5507/bp.2015.053 pmid:26498216 fatcat:flntj2l6efgmpazk5k3pb2jf5y

Retinal Exudates Detection Using Binary Operation and Hard Exudates Classification Using Support Vector Machine

This paper focusses on early detection of hard exudates and to diagnose DR. Binary operations based exudate detection and SVM based hard exudate classification is discussed in this study.  ...  The RGB channel of fundus image is converted to HSI colour space for improved noise suppression and optic disc is eliminated preservinsg the blood vessels.  ...  Hard exudate detection that involves SVM classification, one which is utilized in our work is studied in [7] .A method for segmentation of optic disc using Hough transform and masking the same is studied  ... 
doi:10.35940/ijitee.i7572.078919 fatcat:xh3vgbdypzdzno3ucojj5vozze

Pathological myopia classification with simultaneous lesion segmentation using deep learning [article]

Ruben Hemelings, Bart Elen, Matthew B. Blaschko, Julie Jacob, Ingeborg Stalmans, Patrick De Boever
2020 arXiv   pre-print
Dice and F1 metrics for semantic segmentation of lesions scored 0.9303 and 0.9869 on optic disc, 0.8001 and 0.9135 on retinal atrophy, and 0.8073 and 0.7059 on retinal detachment, respectively.  ...  We propose a new Optic Nerve Head (ONH)-based prediction enhancement for the segmentation of atrophy and fovea.  ...  No outside entities have been involved in the study design, in the collection, analysis and interpretation of data, in the writing of the manuscript, nor in the decision to submit the manuscript for publication  ... 
arXiv:2006.02813v1 fatcat:5nosyblcpff7xhe3yndcpst2my
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