ArticleJournal of digital imaging2021
A Hybrid Algorithm to Enhance Colour Retinal Fundus Images Using a Wiener Filter and CLAHE.
Article in Journal of digital imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 90 citations in OpenAlex.
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- The association between retinal artery to vein ratio and fat distribution: a population-based cross-sectional study.BMC ophthalmology · 2025Article
- A two-stage multi-scale attention-based network for weakly supervised cataract fundus image enhancement.Scientific reports · 2025Article
- Improved deep learning for automatic localisation and segmentation of rectal cancer on T2-weighted MRI.Journal of medical radiation sciences · 2024Article
- Predicting Breast Cancer Relapse from Histopathological Images with Ensemble Machine Learning Models.Current oncology (Toronto, Ont.) · 2024Article
- Near-Infrared Forearm Vascular Width Calculation Using Radius Estimation of Tangent Circle.Bioengineering (Basel, Switzerland) · 2024Article
- Enhancing Retina Images by Lowpass Filtering Using Binomial Filter.Diagnostics (Basel, Switzerland) · 2024Article
- An H-GrabCut Image Segmentation Algorithm for Indoor Pedestrian Background Removal.Sensors (Basel, Switzerland) · 2023Article
- Near-Infrared Blood Vessel Image Segmentation Using Background Subtraction and Improved Mathematical Morphology.Bioengineering (Basel, Switzerland) · 2023Article
- CocoaMFDB: A dataset of cocoa pod maturity and families in an uncontrolled environment in Côte d'Ivoire.Data in brief · 2023Article
- Retinal image enhancement based on color dominance of image.Scientific reports · 2023Article
- Evaluation of histogram equalization and contrast limited adaptive histogram equalization effect on image quality and fractal dimensions of digital periapical radiographs.Oral radiology · 2023Article
- Deep learning-based hemorrhage detection for diabetic retinopathy screening.Scientific reports · 2023Article
- Design of a Honey Badger Optimization Algorithm with a Deep Transfer Learning-Based Osteosarcoma Classification Model.Cancers · 2022Article
- Manta Ray Foraging Optimization Transfer Learning-Based Gastric Cancer Diagnosis and Classification on Endoscopic Images.Cancers · 2022Article
- Hessian filter-assisted full diameter at half maximum (FDHM) segmentation and quantification method for optical-resolution photoacoustic microscopy.Biomedical optics express · 2022Article
- Comparing Conventional and Deep Feature Models for Classifying Fundus Photography of Hemorrhages.Journal of healthcare engineering · 2022Article
- Ultra-Widefield Fluorescein Angiography Image Brightness Compensation Based on Geometrical Features.Sensors (Basel, Switzerland) · 2021Article
- Interactive Blood Vessel Segmentation from Retinal Fundus Image Based on Canny Edge Detector.Sensors (Basel, Switzerland) · 2021Article
- Reducing Noise and Improving Image Contrast with a Hybrid Approach to Enhance the Quality of Medical Imaging.Journal of medical physicsArticle
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital images used in the field of ophthalmology are among the most important methods for automatic detection of certain eye diseases. These processes include image enhancement as a primary step to assist optometrists in identifying diseases. Therefore, many algorithms and methods have been developed for the enhancement of retinal fundus images, which may experience challenges that typically accompany enhancement processes, such as artificial borders and dim lighting that mask image details. To eliminate these problems, a new algorithm is proposed in this paper based on separating colour images into three channels (red, green, and blue). The green channel is passed through a Wiener filter and reinforced using the CLAHE technique before merging with the original red and blue channels. Reducing the green channel noise with this approach is proven effective over the other colour channels. Results from the Contrast Improvement Index (CII) and linear index of fuzziness (r) test indicate the success of the proposed algorithm compared with alternate algorithms in the application of improving blood vessel imagery and other details within ten test fundus images selected from the DRIVER database.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.