Blood vessel segmentation from fundus image by a cascade classification framework.
Xiaohong WangXudong JiangJianfeng RenPublished in: Pattern Recognit. (2019)
Keyphrases
- blood vessels
- segmentation method
- segmentation algorithm
- multiscale
- image classification
- fundus images
- image segmentation
- image analysis
- retinal fundus images
- segmentation procedure
- grey level
- pixel classification
- test images
- region of interest
- segmented images
- image regions
- image pixels
- single image
- image data
- retinal images
- vessel segmentation
- energy function
- optic disc
- pixel level
- edge detection
- registration framework
- textural features
- bayesian framework
- image representation
- image features
- segmentation accuracy
- segmentation scheme
- cross sectional
- tubular structures
- image retrieval
- variational framework
- gray value
- foreground and background
- input image
- low contrast
- graph cuts
- shape prior
- vessel detection
- high resolution
- bounding box
- optical coherence tomography
- grey level co occurrence matrix
- image segments
- intensity distribution
- homogeneous regions
- image structure
- feature extraction