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An Automatic Cognitive Graph-Based Segmentation for Detection of Blood Vessels in Retinal Images
Joint Authors
Al Shehhi, Rasha
Marpu, Prashanth Reddy
Woon, Wei Lee
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-25
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
This paper presents a hierarchical graph-based segmentation for blood vessel detection in digital retinal images.
This segmentation employs some of perceptual Gestalt principles: similarity, closure, continuity, and proximity to merge segments into coherent connected vessel-like patterns.
The integration of Gestalt principles is based on object-based features (e.g., color and black top-hat (BTH) morphology and context) and graph-analysis algorithms (e.g., Dijkstra path).
The segmentation framework consists of two main steps: preprocessing and multiscale graph-based segmentation.
Preprocessing is to enhance lighting condition, due to low illumination contrast, and to construct necessary features to enhance vessel structure due to sensitivity of vessel patterns to multiscale/multiorientation structure.
Graph-based segmentation is to decrease computational processing required for region of interest into most semantic objects.
The segmentation was evaluated on three publicly available datasets.
Experimental results show that preprocessing stage achieves better results compared to state-of-the-art enhancement methods.
The performance of the proposed graph-based segmentation is found to be consistent and comparable to other existing methods, with improved capability of detecting small/thin vessels.
American Psychological Association (APA)
Al Shehhi, Rasha& Marpu, Prashanth Reddy& Woon, Wei Lee. 2016. An Automatic Cognitive Graph-Based Segmentation for Detection of Blood Vessels in Retinal Images. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1112623
Modern Language Association (MLA)
Al Shehhi, Rasha…[et al.]. An Automatic Cognitive Graph-Based Segmentation for Detection of Blood Vessels in Retinal Images. Mathematical Problems in Engineering No. 2016 (2016), pp.1-15.
https://search.emarefa.net/detail/BIM-1112623
American Medical Association (AMA)
Al Shehhi, Rasha& Marpu, Prashanth Reddy& Woon, Wei Lee. An Automatic Cognitive Graph-Based Segmentation for Detection of Blood Vessels in Retinal Images. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1112623
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112623