Automatic retinal vessel extraction algorithm

Toufique A. Soomro, Mohammad A. U. Khan, Junbin Gao, Tariq M. Khan, Manoranjan Paul, Nighat Mir

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

    25 Citations (Scopus)


    Retinal vessel segmentation plays a key role in the detection of numerous eye diseases, and its reliable computerised implementation becomes important for automatic retinal disease screening systems. A large number of retinal vessel segmentation algorithms have been reported, primarily based on three main steps including uniforming background, using the second-order Gaussian detector and applying binarization. These methods though improve the accuracy levels, their sensitivity to low-contrast in vessels still needs attention. In this paper, some contrast-sensitive approaches are discussed and embedded in the conventional algorithms, resulting in improved sensitivity for a given retinal vessel extraction technique. The proposed method gives good performance on both publicly databases with the accurate vessel extraction on STARE database. The proposed unsupervised method achieves the accuracy of 94.41%, much better than some existing unsupervised methods and comparable to some supervised methods. Its efficiency with different image conditions, together with its simplicity and fast operation, makes the blood vessel segmentation application suitable for retinal image computer analyses such as automated screening for early diabetic retinopathy detection.

    Original languageEnglish
    Title of host publication2016 International Conference on Digital Image Computing
    Subtitle of host publicationTechniques and Applications (DICTA)
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Number of pages8
    ISBN (Electronic)9781509028962
    ISBN (Print)9781509028979
    Publication statusPublished - 22 Dec 2016
    Event2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016 - Gold Coast, Australia
    Duration: 30 Nov 20162 Dec 2016


    Other2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016
    CityGold Coast


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