Ridge-Based Vessel Segmentation in Color Images of the Retina
Heidelberg University · University Medical Center Utrecht · +2 more institutions
Abstract
A method is presented for automated segmentation of vessels in two-dimensional color images of the retina. This method can be used in computer analyses of retinal images, e.g., in automated screening for diabetic retinopathy. The system is based on extraction of image ridges, which coincide approximately with vessel centerlines. The ridges are used to compose primitives in the form of line elements. With the line elements an image is partitioned into patches by assigning each image pixel to the closest line element. Every line element constitutes a local coordinate frame for its corresponding patch. For every pixel, feature vectors are computed that make use of properties of the patches and the line elements.…
Citation impact
- FWCI
- 24.58
- Percentile
- 100%
- References
- 31
Authors
5- JSJoes StaalCorresponding
Heidelberg University, University Medical Center Utrecht, University Hospital Heidelberg
- MDMichael D. Abràmoff
University of Iowa
- MNMeindert Niemeijer
University Medical Center Utrecht
- MAMax A. Viergever
University Medical Center Utrecht
- BVBram van Ginneken
University Medical Center Utrecht
Topics & keywords
- Artificial intelligence
- Computer vision
- Computer science
- Pixel
- Segmentation
- Image segmentation
- Feature extraction
- Pattern recognition (psychology)