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    Automatic Segmentation and Inpainting of Specular Highlights for Endoscopic Imaging

    Mirko, Arnold and Anarta, Ghosh and Stefan, Ameling and Lacey, Gerard (2010) Automatic Segmentation and Inpainting of Specular Highlights for Endoscopic Imaging. EURASIP Journal on Image and Video Processing. ISSN 1687-5281

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    Minimally invasive medical procedures have become increasingly common in today's healthcare practice. Images taken during such procedures largely show tissues of human organs, such as the mucosa of the gastrointestinal tract. These surfaces usually have a glossy appearance showing specular highlights. For many visual analysis algorithms, these distinct and bright visual features can become a significant source of error. In this article, we propose two methods to address this problem: (a) a segmentation method based on nonlinear filtering and colour image thresholding and (b) an efficient inpainting method. The inpainting algorithm eliminates the negative effect of specular highlights on other image analysis algorithms and also gives a visually pleasing result. The methods compare favourably to the existing approaches reported for endoscopic imaging. Furthermore, in contrast to the existing approaches, the proposed segmentation method is applicable to the widely used sequential RGB image acquisition systems.

    Item Type: Article
    Keywords: Automatic Segmentation; Inpainting; Specular; Highlights; Endoscopic Imaging;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 16899
    Identification Number:
    Depositing User: Gerard Lacey
    Date Deposited: 30 Jan 2023 16:24
    Journal or Publication Title: EURASIP Journal on Image and Video Processing
    Publisher: SpringerOpen
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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