Vesselness enhancement diffusion

C. Canero, P. Radeva

    Research output: Contribution to journalArticleResearchpeer-review

    46 Citations (Scopus)


    We propose a new anisotropic diffusion filter to enhance the local coherence of multiscale tubular structures on 2D images. The proposed filter uses a diffusion tensor with diffusion direction and strength determined by the local structure, and chooses automatically for each pixel the diffusion tensor scale. In this paper, we show how this filter enhances X-ray coronary angiographic images to facilitate vessel segmentation. To this aim, we present experimental results of the performance of the filter on synthetic and real images. © 2003 Elsevier B.V. All rights reserved.
    Original languageEnglish
    Pages (from-to)3141-3151
    JournalPattern Recognition Letters
    Issue number16
    Publication statusPublished - 1 Jan 2003


    • Image enhancement
    • Non-linear filtering
    • Tubular structures enhancement
    • Vessel segmentation
    • X-ray angiography


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