Abstract
We present in this paper a novel lumen centre detection for gastrointestinal and respiratory endoscopic images. The proposed method is based on the appearance and geometry of the lumen, which we defined as the darkest image region which centre is a hub of image gradients. Experimental results validated on the first public annotated gastro-respiratory database prove the reliability of the method for a wide range of images (with precision over 95 %).
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Acknowledgments
This work was supported by a research grant from Universitat Autónoma de Barcelona 471-01- 2/2010 and by Spanish projects \(TIN2009-10435\), \(TIN2009-13618\) and \(TIN2012-33116\).
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Sánchez, C., Bernal, J., Gil, D., Sánchez, F.J. (2014). On-Line Lumen Centre Detection in Gastrointestinal and Respiratory Endoscopy. In: Erdt, M., et al. Clinical Image-Based Procedures. Translational Research in Medical Imaging. CLIP 2013. Lecture Notes in Computer Science(), vol 8361. Springer, Cham. https://doi.org/10.1007/978-3-319-05666-1_5
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DOI: https://doi.org/10.1007/978-3-319-05666-1_5
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