Fusion of Entropy-Based Thresholding and Active Contour Model for Detection of Exudate and Optic Disc in Color Fundus Images

[1]  Devi Vijayan,et al.  Detection of Exudates in Diabetic Retinopathy , 2018, 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

[2]  Giri Babu Kande,et al.  Segmentation of optic disk and optic cup from digital fundus images for the assessment of glaucoma , 2016, Biomed. Signal Process. Control..

[3]  Manuel João Oliveira Ferreira,et al.  Exudate segmentation in fundus images using an ant colony optimization approach , 2015, Inf. Sci..

[4]  P. Kertes,et al.  Evidence-Based Eye Care , 2013 .

[5]  Martin Kraus,et al.  Automatic no-reference quality assessment for retinal fundus images using vessel segmentation , 2013, Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems.

[6]  Guy Cazuguel,et al.  TeleOphta: Machine learning and image processing methods for teleophthalmology , 2013 .

[7]  Ravinda G. N. Meegama,et al.  Detection of hard exudates from diabetic retinopathy images using fuzzy logic , 2013, IET Image Process..

[8]  Chandan Chakraborty,et al.  Machine learning approach for automated screening of malaria parasite using light microscopic images. , 2013, Micron.

[9]  Amin Dehghani.  Optic disc localization in retinal images using histogram matching , 2012, EURASIP J. Image Video Process..

[10]  Hamzah Arof,et al.  Exudates segmentation using inverse surface adaptive thresholding , 2012 .

[11]  Miguel Castelo-Branco,et al.  Curvature detection and segmentation of retinal exudates , 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

[12]  Jaspreet Kaur,et al.  An Efficient Blood Vessel Detection Algorithm For Retinal Images Using Local Entropy Thresholding , 2012 .

[13]  Bálint Antal,et al.  Ensemble-based exudate detection in color fundus images , 2011, 2011 7th International Symposium on Image and Signal Processing and Analysis (ISPA).

[14]  Miguel Castelo-Branco,et al.  Exudates dynamic detection in retinal fundus images based on the noise map distribution , 2011, 2011 19th European Signal Processing Conference.

[15]  Asoke K. Nandi,et al.  Automated detection of exudates in retinal images using a split-and-merge algorithm , 2010, 2010 18th European Signal Processing Conference.

[16]  Jacob Scharcanski,et al.  A coarse-to-fine strategy for automatically detecting exudates in color eye fundus images , 2010, Comput. Medical Imaging Graph..

[17]  Philip J. Morrow,et al.  Algorithms for digital image processing in diabetic retinopathy , 2009, Comput. Medical Imaging Graph..

[18]  Roberto Hornero,et al.  Retinal image analysis based on mixture models to detect hard exudates , 2009, Medical Image Anal..

[19]  Alireza Osareh,et al.  A Computational-Intelligence-Based Approach for Detection of Exudates in Diabetic Retinopathy Images , 2009, IEEE Transactions on Information Technology in Biomedicine.

[20]  Anurag Mittal,et al.  Automated feature extraction for early detection of diabetic retinopathy in fundus images , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[21]  Ahmed Wasif Reza,et al.  Automatic Tracing of Optic Disc and Exudates from Color Fundus Images Using Fixed and Variable Thresholds , 2009, Journal of Medical Systems.

[22]  Giri Babu Kande,et al.  Segmentation of Exudates and Optic Disk in Retinal Images , 2008, 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing.

[23]  Bunyarit Uyyanonvara,et al.  Automatic detection of diabetic retinopathy exudates from non-dilated retinal images using mathematical morphology methods , 2008, Comput. Medical Imaging Graph..

[24]  B. van Ginneken,et al.  Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis. , 2007, Investigative ophthalmology & visual science.

[25]  Juan Xu,et al.  Automated Optic Disk Boundary Detection by Modified Active Contour Model , 2007, IEEE Transactions on Biomedical Engineering.

[26]  Rafael C. González,et al.  Digital image processing using MATLAB , 2006 .

[27]  Di Wu,et al.  On the adaptive detection of blood vessels in retinal images , 2006, IEEE Transactions on Biomedical Engineering.

[28]  Enrico Grisan,et al.  Luminosity and contrast normalization in retinal images , 2005, Medical Image Anal..

[29]  Enrico Grisan,et al.  Detection of optic disc in retinal images by means of a geometrical model of vessel structure , 2004, IEEE Transactions on Medical Imaging.

[30]  R. A. Abdel-Ghafar,et al.  Detection and Characterisation of the Optic Disk in Glaucoma and Diabetic Retinopathy , 2004 .

[31]  Huiqi Li,et al.  Automated feature extraction in color retinal images by a model based approach , 2004, IEEE Transactions on Biomedical Engineering.

[32]  Huiqi Li,et al.  A model-based approach for automated feature extraction in fundus images , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[33]  B. Thomas,et al.  Automated identification of diabetic retinal exudates in digital colour images , 2003, The British journal of ophthalmology.

[34]  Huiqi Li,et al.  Boundary detection of optic disk by a modified ASM method , 2003, Pattern Recognit..

[35]  Pascale Massin,et al.  A contribution of image processing to the diagnosis of diabetic retinopathy-detection of exudates in color fundus images of the human retina , 2002, IEEE Transactions on Medical Imaging.

[36]  Kristian Fossen,et al.  An economic analysis of screening for diabetic retinopathy , 2002, Journal of telemedicine and telecare.

[37]  Langis Gagnon,et al.  Fast and robust optic disc detection using pyramidal decomposition and Hausdorff-based template matching , 2001, IEEE Transactions on Medical Imaging.

[38]  Thomas Walter,et al.  Segmentation of Color Fundus Images of the Human Retina: Detection of the Optic Disc and the Vascular Tree Using Morphological Techniques , 2001, ISMDA.

[39]  L. Vese,et al.  Active contours without edges , 2001, IEEE Trans. Image Process..

[40]  C. Sinthanayothin,et al.  Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images , 1999, The British journal of ophthalmology.

[41]  Karl-Hans Englmeier,et al.  Course tracking and contour extraction of retinal vessels from color fundus photographs: most efficient use of steerable filters for model-based image analysis , 1998, Medical Imaging.

[42]  Bernt Schiele,et al.  Comprehensive Colour Image Normalization , 1998, ECCV.

[43]  Shankar M. Krishnan,et al.  Automatic image analysis of fundus photograph , 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).

[44]  T. Williamson,et al.  Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool. , 1996, The British journal of ophthalmology.

[45]  A. Pinz,et al.  Mapping the human retina , 1996, IEEE Transactions on Medical Imaging.

[46]  Shyang Chang,et al.  A new criterion for automatic multilevel thresholding , 1995, IEEE Trans. Image Process..

[47]  Abhijit G. Shanbhag,et al.  Utilization of Information Measure as a Means of Image Thresholding , 1994, CVGIP Graph. Model. Image Process..

[48]  P. Sharp,et al.  Automated detection and quantification of retinal exudates , 1993, Graefe's Archive for Clinical and Experimental Ophthalmology.

[49]  Kenneth M. Taylor,et al.  Quantification of retinal damage during cardiopulmonary bypass: comparison of computer and human assessment , 1990 .

[50]  Yrjö Neuvo,et al.  FIR-median hybrid filters , 1987, IEEE Trans. Acoust. Speech Signal Process..

[51]  Andrew K. C. Wong,et al.  A new method for gray-level picture thresholding using the entropy of the histogram , 1985, Comput. Vis. Graph. Image Process..

[52]  Thierry Pun,et al.  A new method for grey-level picture thresholding using the entropy of the histogram , 1980 .

[53]  Huiqi Li,et al.  An approach to locate optic disc in retinal images with pathological changes , 2016, Comput. Medical Imaging Graph..

[54]  G. Crooks.  On Measures of Entropy and Information , 2015 .

[55]  Sushma G. Thorat.  Locating the Optic Nerve in a Retinal Image Using the Fuzzy Convergence of the Blood Vessels , 2014 .

[56]  P. C. Siddalingaswamy,et al.  Automatic Segmentation of Blood Vessels in Colour Retinal Images using Spatial Gabor Filter and Multiscale Analysis , 2009 .

[57]  Dattaguru V Kamat.  Automated Feature Extraction for Early Detection of Diabetic Retinopathy in Fundus Images , 2008 .

[58]  Aliaa A. A. Youssif,et al.  Optic Disc Detection From Normalized Digital Fundus Images by Means of a Vessels' Direction Matched Filter , 2008, IEEE Transactions on Medical Imaging.

[59]  Joni-Kristian Kämäräinen,et al.  The DIARETDB1 Diabetic Retinopathy Database and Evaluation Protocol , 2007, BMVC.

[60]  Aliaa A. A. Youssif,et al.  A comparative evaluation of preprocessing methods for automatic detection of retinal anatomy , 2007 .

[61]  Alireza Osareh,et al.  Automated identification of diabetic retinal exudates and the optic disc , 2004 .

[62]  H. Niemann,et al.  Optic Disc Segmentation in Retinal Images , 2002, Bildverarbeitung für die Medizin.

[63]  L. Baumela,et al.  Variations of Grey World for face tracking , 2001 .

[64]  Majid Mirmehdi,et al.  Automatic Recognition of Exudative Maculopathy using Fuzzy C- Means Clustering and Neural Networks , 2001 .

[65]  Prasanna K. Sahoo,et al.  Threshold selection using Renyi's entropy , 1997, Pattern Recognit..

[66]  J S Andrews,et al.  A quantitative system to evaluate diabetic retinopathy from fundus photographs. , 1995, Investigative ophthalmology & visual science.

[67]  M. Goldbaum,et al.  Detection of blood vessels in retinal images using two-dimensional matched filters. , 1989, IEEE transactions on medical imaging.

[68]  Club Jules Gonin,et al.  Graefe's archive for clinical and experimental ophthalmology , 1982 .

[69]  A. Rényi.  On Measures of Entropy and Information , 1961 .

[70]  Keith A Goatman,et al.  Colour normalisation of retinal images , 2022 .