Preprocessing and Segmentation of Retina Images for Blood Vessel Extraction.
Ambaji S. JadhavPushpa B. PatilPublished in: RTIP2R (2) (2018)
Keyphrases
- blood vessels
- tubular structures
- fundus images
- low contrast
- segmentation algorithm
- accurate segmentation
- preprocessing
- segmentation method
- magnetic resonance angiography
- region of interest
- retinal fundus images
- vessel segmentation
- retinal images
- test images
- vessel detection
- retinal vessel
- fully automatic
- image analysis
- edge detection
- image data
- segmentation errors
- cross sectional
- image regions
- microscopic images
- adaptive thresholding
- object extraction
- segmented images
- pixel wise
- grey level
- segmentation accuracy
- pixel level
- optic disc
- input image
- retinal fundus
- human retina
- gray value
- cell nuclei
- ground truth
- image features
- preprocessing stage
- automatically segmented
- preprocessing steps
- image retrieval
- image segmentation
- medical images
- multiscale
- feature extraction
- line extraction
- graph cuts
- object segmentation
- automatic segmentation
- image segmentation algorithms
- image processing