Improved automated detection of glaucoma from fundus image using hybrid structural and textural features.
Tehmina KhalilMuhammad Usman AkramSamina KhalidAmina JameelPublished in: IET Image Process. (2017)
Keyphrases
- textural features
- automated detection
- ultrasonic images
- image data
- image features
- input image
- breast tumors
- multiscale
- texture analysis
- fundus images
- image retrieval
- image analysis
- blood vessels
- image segmentation
- automated analysis
- texture features
- pixel level
- lung cancer
- spatial information
- high resolution
- similarity measure
- machine learning
- local binary pattern
- structural information
- visual inspection
- segmentation method