Isfahan University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
A New Method for the Localization of Hard Exudates Based on Analyzing Intensity Incremental-Decremental Trends Publisher



Monemian M1 ; Rabbani H1
Authors
Show Affiliations
Authors Affiliations
  1. 1. Isfahan University of Medical Sciences, Medical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan, 81746-73461, Iran

Source: IEEE Transactions on Instrumentation and Measurement Published:2024


Abstract

Diabetic retinopathy (DR) is a serious retinal disease infecting the patients with a long history of diabetes. It damages the vision and may lead to partially sightedness if remains untreated. Therefore, early diagnosis of DR is of significant importance. Hard exudates (HEs) are from important manifestations of DR. They appear as bright lesions in the retinal fundus images. The identification of HEs with automatic approaches helps the ophthalmologists in the process of evaluating disease and its progression. In this article, a new method is proposed for the automatic localization of HEs from retinal fundus images. The primary idea is the trend of intensity changes in different directions inside a sample HE. In fact, as one moves from outside to the center of an HE, the intensity values increase and then decrease gradually. This idea is mathematically modeled in the proposed method. The simulation results indicate that the proposed method has an outstanding performance in terms of simplicity and accuracy in comparison to the state of the art. © 1963-2012 IEEE.
Related Docs
View other Related Docs
1. Exudate Identification in Retinal Fundus Images Using Precise Textural Verifications, Scientific Reports (2023)
2. A Computationally Efficient Red-Lesion Extraction Method for Retinal Fundus Images, IEEE Transactions on Instrumentation and Measurement (2023)
3. Red-Lesion Extraction in Retinal Fundus Images by Directional Intensity Changes’ Analysis, Scientific Reports (2021)
4. Detecting Red-Lesions From Retinal Fundus Images Using Unique Morphological Features, Scientific Reports (2023)
5. Circlet Based Framework for Optic Disk Detection, Proceedings - International Conference on Image Processing, ICIP (2017)
6. A New Combined Method Based on Curvelet Transform and Morphological Operators for Automatic Detection of Foveal Avascular Zone, Signal, Image and Video Processing (2014)
7. A Comprehensive Study of Retinal Vessel Classification Methods in Fundus Images, Journal of Medical Signals and Sensors (2017)
8. A Review on Texture-Based Methods for Anomaly Detection in Retinal Optical Coherence Tomography Images, Optik (2023)
Experts (# of related papers)
View all Related Experts
Hossein Rabbani (38)
Raheleh Kafieh (8)
Other Related Docs
9. Automatic Detection of Exudates and Optic Disk in Retinal Images Using Curvelet Transform, IET Image Processing (2012)
10. Diabetic Retinopathy Detection in Ocular Imaging by Dictionary Learning, Diabetes and Fundus OCT (2020)
11. Automatic Detection of the Optic Disc of the Retina: A Fast Method, Journal of Medical Signals and Sensors (2016)
12. Analysis of Foveal Avascular Zone for Grading of Diabetic Retinopathy Severity Based on Curvelet Transform, Graefe's Archive for Clinical and Experimental Ophthalmology (2012)
13. Hybrid Registration of Retinal Fluorescein Angiography and Optical Coherence Tomography Images of Patients With Diabetic Retinopathy, Biomedical Optics Express (2021)
14. Fully Automatic Segmentation of Fluorescein Leakage in Subjects With Diabetic Macular Edema, Investigative Ophthalmology and Visual Science (2015)
15. Automated Choroidal Segmentation in Enhanced Depth Imaging Optical Coherence Tomography Images, Journal of Isfahan Medical School (2013)
16. Automatic Detection of Microaneurysms in Optical Coherence Tomography Images of Retina Using Convolutional Neural Networks and Transfer Learning, Scientific Reports (2022)
17. Vessel Centerlines Extraction From Fundus Fluorescein Angiogram Based on Hessian Analysis of Directional Curvelet Subbands, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (2013)
18. Automatic Optic Disk Boundary Extraction by the Use of Curvelet Transform and Deformable Variational Level Set Model, Pattern Recognition (2012)
19. Registration of Optical Coherence Tomography (Oct) of Optic Nerve Head and Fundus Images Using Speeded-Up Robust Features (Surf) and Random Sample Consensus (Ransac) Algorithms, Journal of Isfahan Medical School (2016)
20. Vessel-Based Registration of Fundus and Optical Coherence Tomography Projection Images of Retina Using a Quadratic Registration Model, IET Image Processing (2013)
21. Exact Localization of Breakpoints of Retinal Pigment Epithelium in Optical Coherence Tomography of Optic Nerve Head, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2017)
22. Automatic Multifaceted Matlab Package for Analysis of Ocular Images (Ampao), SoftwareX (2019)
23. Registration of Fluorescein Angiography and Optical Coherence Tomography Images of Curved Retina Via Scanning Laser Ophthalmoscopy Photographs, Biomedical Optics Express (2020)
24. Classification of Dry Age-Related Macular Degeneration and Diabetic Macular Oedema From Optical Coherence Tomography Images Using Dictionary Learning, IET Image Processing (2020)
25. Retinal Vessel Segmentation Using System Fuzzy and Dbscan Algorithm, 2015 2nd International Conference on Pattern Recognition and Image Analysis, IPRIA 2015 (2015)
26. Directional Analysis of Intensity Changes for Determining the Existence of Cyst in Optical Coherence Tomography Images, Scientific Reports (2022)
27. Automatic Detection of Micro-Aneurysms in Retinal Images Based on Curvelet Transform and Morphological Operations, Proceedings of SPIE - The International Society for Optical Engineering (2013)
28. Analysis of Fundus Fluorescein Angiogram Based on the Hessian Matrix of Directional Curvelet Sub-Bands and Distance Regularized Level Set Evolution, Journal of Medical Signals and Sensors (2015)
29. Automatic Detection of Microaneurysms in Oct Images Using Bag of Features, Computational and Mathematical Methods in Medicine (2022)
30. Livelayer: A Semi-Automatic Software Program for Segmentation of Layers and Diabetic Macular Edema in Optical Coherence Tomography Images, Scientific Reports (2021)
31. Detection and Registration of Vessels of Fundus and Oct Images Using Curevelet Analysis, IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012 (2012)
32. Automatic Optic Disk Detection by the Use of Curvelet Transform, Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009 (2009)
33. Automatic Detection of Hyperreflective Foci in Optical Coherence Tomography B-Scans Using Morphological Component Analysis, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2017)
34. Fully Automated Segmentation of Fluid/Cyst Regions in Optical Coherence Tomography Images With Diabetic Macular Edema Using Neutrosophic Sets and Graph Algorithms, IEEE Transactions on Biomedical Engineering (2018)
35. Non-Rigid Registration of Fluorescein Angiography and Optical Coherence Tomography Via Scanning Laser Ophthalmoscope Imaging, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2017)
36. Isfahan Artificial Intelligence Event 2023: Macular Pathology Detection Competition, Journal of Medical Signals and Sensors (2025)
37. A New Curvelet Transform Based Method for Extraction of Red Lesions in Digital Color Retinal Images, Proceedings - International Conference on Image Processing, ICIP (2010)
38. Analysis of a Novel Segmentation Algorithm for Optical Coherence Tomography Images Based on Pixels Intensity Correlations, IEEE Transactions on Instrumentation and Measurement (2021)
39. Diabetic Retinopathy Grading by Digital Curvelet Transform, Computational and Mathematical Methods in Medicine (2012)
40. A Dictionary Learning Based Method for Detection of Diabetic Retinopathy in Color Fundus Images, Iranian Conference on Machine Vision and Image Processing, MVIP (2017)