Literature DB >> 23726437

Automatic localization of the optic disc by combining vascular and intensity information.

Ana Maria Mendonça1, António Sousa, Luís Mendonça, Aurélio Campilho.   

Abstract

This paper describes a new methodology for automatic location of the optic disc in retinal images, based on the combination of information taken from the blood vessel network with intensity data. The distribution of vessel orientations around an image point is quantified using the new concept of entropy of vascular directions. The robustness of the method for OD localization is improved by constraining the search for maximal values of entropy to image areas with high intensities. The method was able to obtain a valid location for the optic disc in 1357 out of the 1361 images of the four datasets.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Keywords:  Entropy; Optic disc localization; Retinal image analysis; Retinal vessel segmentation

Mesh:

Year:  2013        PMID: 23726437     DOI: 10.1016/j.compmedimag.2013.04.004

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  4 in total

1.  Automatic optic disk detection in retinal images using hybrid vessel phase portrait analysis.

Authors:  Nittaya Muangnak; Pakinee Aimmanee; Stanislav Makhanov
Journal:  Med Biol Eng Comput       Date:  2017-08-24       Impact factor: 2.602

2.  Localization and segmentation of optic disc in retinal images using circular Hough transform and grow-cut algorithm.

Authors:  Muhammad Abdullah; Muhammad Moazam Fraz; Sarah A Barman
Journal:  PeerJ       Date:  2016-05-10       Impact factor: 2.984

3.  Contrast based circular approximation for accurate and robust optic disc segmentation in retinal images.

Authors:  Jose Sigut; Omar Nunez; Francisco Fumero; Marta Gonzalez; Rafael Arnay
Journal:  PeerJ       Date:  2017-09-07       Impact factor: 2.984

4.  Localizing Optic Disc in Retinal Image Automatically with Entropy Based Algorithm.

Authors:  Lamia AbedNoor Muhammed
Journal:  Int J Biomed Imaging       Date:  2018-02-06
  4 in total

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