Abstract
In this paper, we present a new algorithm to obtain robust markers for blood vessels segmentation in malignant tumors. We propose a two-stage segmentation strategy which involves: 1) extracting an approximate region containing blood vessels and part of the background, and 2) segmenting blood vessels from the background within this region. The approach was effectively very useful in blood vessels segmentation and its validity was tested by using the watershed method. The proposed segmentation technique is tested on manual segmentation. It is demonstrated by extensive experimentation, by using real images, that the proposed strategy was suitable for our application.
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Rodríguez, R., Alarcón, T.E., Pacheco, O. (2003). Robust Markers for Blood Vessels Segmentation: A New Algorithm. In: Sanfeliu, A., Ruiz-Shulcloper, J. (eds) Progress in Pattern Recognition, Speech and Image Analysis. CIARP 2003. Lecture Notes in Computer Science, vol 2905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24586-5_35
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DOI: https://doi.org/10.1007/978-3-540-24586-5_35
Publisher Name: Springer, Berlin, Heidelberg
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