Enhancement of blurry retinal image based on non-uniform contrast stretching and intensity transfer
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Enhancement of blurry retinal image based on non-uniform contrast stretching and intensity transfer
Authors
Keywords
-
Journal
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
Volume 58, Issue 3, Pages 483-496
Publisher
Springer Science and Business Media LLC
Online
2020-01-03
DOI
10.1007/s11517-019-02106-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Color retinal image enhancement using luminosity and quantile based contrast enhancement
- (2019) Bhupendra Gupta et al. MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING
- Hierarchical method for cataract grading based on retinal images using improved Haar wavelet
- (2019) Lvchen Cao et al. Information Fusion
- A generalized method for the segmentation of exudates from pathological retinal fundus images
- (2018) Jaskirat Kaur et al. Biocybernetics and Biomedical Engineering
- Enhancement and restoration of non-uniform illuminated Fundus Image of Retina obtained through thin layer of cataract
- (2018) Anirban Mitra et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Joint Segment-level and Pixel-wise Losses for Deep Learning based Retinal Vessel Segmentation
- (2018) Zengqiang Yan et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Color Retinal Image Enhancement Based on Luminosity and Contrast Adjustment
- (2018) Mei Zhou et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Naturalness Preserved Image Enhancement Using a Priori Multi-Layer Lightness Statistics
- (2018) Shuhang Wang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Mask R-CNN
- (2018) Kaiming He et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- An automated and robust image processing algorithm for glaucoma diagnosis from fundus images using novel blood vessel tracking and bend point detection
- (2018) Soorya M. et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Retinal Vessel Segmentation Using Minimum Spanning Superpixel Tree Detector
- (2018) Bin Sheng et al. IEEE Transactions on Cybernetics
- An Approach to Evaluate Blurriness in Retinal Images with Vitreous Opacity for Cataract Diagnosis
- (2017) Li Xiong et al. Journal of Healthcare Engineering
- Exploiting ensemble learning for automatic cataract detection and grading
- (2016) Ji-Jiang Yang et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores
- (2016) Jiong Zhang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A computer-aided healthcare system for cataract classification and grading based on fundus image analysis
- (2015) Liye Guo et al. COMPUTERS IN INDUSTRY
- A retinal vessel boundary tracking method based on Bayesian theory and multi-scale line detection
- (2014) Jia Zhang et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- A Multi-Orientation Analysis Approach to Retinal Vessel Tracking
- (2014) Erik Bekkers et al. JOURNAL OF MATHEMATICAL IMAGING AND VISION
- Computer-aided diagnosis of diabetic retinopathy: A review
- (2013) Muthu Rama Krishnan Mookiah et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Color-difference evaluation for digital images using a categorical judgment method
- (2013) Haoxue Liu et al. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION
- An effective retinal blood vessel segmentation method using multi-scale line detection
- (2012) Uyen T.V. Nguyen et al. PATTERN RECOGNITION
- Exudate-based diabetic macular edema detection in fundus images using publicly available datasets
- (2011) Luca Giancardo et al. MEDICAL IMAGE ANALYSIS
- Glaucoma risk index:Automated glaucoma detection from color fundus images
- (2010) Rüdiger Bock et al. MEDICAL IMAGE ANALYSIS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now