Retinal image registration from artery–venous subtree by graph theoretical characterization of retinal vascular network
| Autor: | Nilanjana Dutta Roy, Arindam Biswas |
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| Rok vydání: | 2019 |
| Předmět: |
Ground truth
Binary tree Computer science business.industry Image registration 020207 software engineering Pattern recognition Retinal 02 engineering and technology chemistry.chemical_compound Tree traversal chemistry Vascular network 020204 information systems 0202 electrical engineering electronic engineering information engineering Graph (abstract data type) RGB color model Artificial intelligence business Software |
| Zdroj: | Innovations in Systems and Software Engineering. 16:79-86 |
| ISSN: | 1614-5054 1614-5046 |
| Popis: | There are many approaches exist in literature to register retinal images from their RGB fundus stages. Previous approaches need to take special care upon transformations like rotation and translation. In this paper, an image registration method has been proposed which is robust against transformation and does not need extra burden to handle it. In particular, our proposed approach consists of three major stages. At the first stage, vascular network has been segregated into many other coloured sub-categories on the segmented fundus image. The second stage is to find out arterial and venous segments among the coloured sub-categories of the network by following the proposed artery-vein (A/V) classification method. Finally, each arterial and venous segments are combined together to form arterial and venous subtrees which resembles a binary tree. Finding inorder traversal of each such subtrees complete the process for image registration. We evaluate the approach with ground truth images of a public database called RITE. The work shows an arterial-venous classification rate as $$89\%$$ using an automated vessel segmented image as input which is comparable with other existing methods. |
| Databáze: | OpenAIRE |
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