Work

Retinal Image Matching Using Hierarchical Vascular Features

Year: 2011

Type: article

Abstract: We propose a method for retinal image matching that can be used in image matching for person identification or patient longitudinal study. Vascular invariant features are extracted from the retinal image, and a feature vector is constructed for each of the vessel segments in the retinal blood vessels. The feature vectors are represented in a tree structure with maintaining the vessel segments actual hierarchical positions. Using these feature vectors, corresponding images are matched. The method identifies the same vessel in the corresponding images for comparing the desired feature(s). Initial results are encouraging and demonstrate that the proposed method is suitable for image matching and patient longitudinal study.

Source: Computational Intelligence and Neuroscience

DOI: 10.1155/2011/749054

Authors: Alauddin Bhuiyan, Ecosse Lamoureux, Baikunth Nath, Kotagiri Ramamohanarao, Tien Y. Wong

Institutions: The University of Melbourne, Centre for Eye Research Australia

Language: English

Topic: Retinal Imaging and Analysis

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $2,550