Automatic no-reference quality assessment for retinal fundus images using vessel segmentation.
Thomas KöhlerAttila BudaiMartin KrausJan OdstrcilíkGeorg MichelsonJoachim HorneggerPublished in: CBMS (2013)
Keyphrases
- quality assessment
- vessel segmentation
- blood vessels
- retinal images
- retinal fundus images
- image quality
- image quality assessment
- perceptual image quality
- video quality
- optic disc
- low contrast
- human visual system
- quality metrics
- region of interest
- fully automatic
- vessel enhancement
- data quality
- reduced reference
- region growing
- semi automatic
- subjective quality
- human perception
- visual quality
- pairwise