Blood vessels segmentation in nonmydriatic images using wavelets and statistical classifiers

J. J.G. Leandro, J. V.B. Soares, R. M. Cesar, H. F. Jelinek

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

28 Scopus citations

Abstract

This work describes a new framework for automatic analysis of optic fundus nonmydriatic images, focusing on the segmentation of the blood vessels by using pixel classification based on pattern recognition techniques. Each pixel is represented by a feature vector composed of color information and measurements at different scales taken from the continuous wavelet (Morlet) transform as well as from mean and order filtering applied to the green channel. The major benefit resulting from the wavelet application to the optic fundus images is its multiscale analysing capability in tuning to specific frequencies, thus allowing noise filtering and blood vessel enhancement in a single step. Supervised classifiers are then applied to label each pixel as either a vessel or a nonvessel. Two different strategies to select the training set have been devised: (1) the blood vessels of a sample image are completely drawn by hand, leading to a labeled image (i.e. vessels x nonvessel pixels) which is used to train the classifier, to be applied to other images; (2) the vessels located in a given small portion of the target image are drawn by hand and the remaining fundus image is segmented by a classifier trained using the hand-drawn portion to define the training set. The latter strategy is particularly suitable for the implementation of a semiautomated software to be used by health workers in order to avoid the need of setting imaging parameters such as thresholds. Both strategies have been extensively assessed and several successful experimental results using real-case images have been obtained.

Original languageBritish English
Title of host publicationProceedings - 16th Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2003
EditorsMaria Cristina Ferreira de Oliveira, Roberto Marcondes Cesar
PublisherIEEE Computer Society
Pages262-269
Number of pages8
ISBN (Electronic)0769520324
DOIs
StatePublished - 2003
Event16th Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2003 - Sao Carlos, Brazil
Duration: 12 Oct 200315 Oct 2003

Publication series

NameBrazilian Symposium of Computer Graphic and Image Processing
Volume2003-January
ISSN (Print)1530-1834

Conference

Conference16th Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2003
Country/TerritoryBrazil
CitySao Carlos
Period12/10/0315/10/03

Keywords

  • Biomedical imaging
  • Blood vessels
  • Continuous wavelet transforms
  • Filtering
  • Image analysis
  • Image segmentation
  • Optical filters
  • Optical noise
  • Pattern analysis
  • Pixel

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