Autonomous Glaucoma detection from fundus image using cup to disc ratio and hybrid features.
Anum Abdul SalamM. Usman AkramKamran WazirSyed Muhammad AnwarMuhammad MajidPublished in: ISSPIT (2015)
Keyphrases
- fundus images
- image features
- blood vessels
- optic disc
- diabetic retinopathy
- low level
- optical coherence tomography
- test images
- extracting features
- false positives
- retinal images
- adaboost classifier
- image retrieval
- image data
- extracted features
- image pixels
- input image
- global features
- cluttered scenes
- keypoints
- feature set
- spatial information
- image content
- image analysis
- original images
- feature extraction
- single image
- image classification
- optic nerve
- image segmentation
- image representation
- visual features
- feature points
- feature vectors
- multiscale
- texture and shape features
- automatic image orientation
- textural features
- invariant features
- color histogram
- image matching
- image regions
- segmentation method
- gray level