A Verification-Based Multithreshold Probing Approach to HEp-2 Cell Segmentation

  • Xiaoyi JiangEmail author
  • Gennaro Percannella
  • Mario Vento
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9257)


In this paper we propose a novel approach to HEp-2 cell segmentation based on the framework of verification-based multithreshold probing. Cell hypotheses are generated by binarization using hypothetic thresholds and accepted/rejected by a verification procedure. The proposed method has the nice property of combining both adaptive local thresholding and involvement of high-level knowledge. We have realized a prototype implementation using a simple rule-based verification procedure. Experimental evaluation has been performed on two public databases. It is shown that our approach outperforms a number of existing methods.


Staining Pattern Prototype Implementation Ground Truth Image Cell Segmentation Watershed Segmentation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Xiaoyi Jiang
    • 1
    • 2
    Email author
  • Gennaro Percannella
    • 3
  • Mario Vento
    • 3
  1. 1.Department of Mathematics and Computer ScienceUniversity of MünsterMünsterGermany
  2. 2.Cluster of Excellence EXC 1003, Cells in Motion, CiMMünsterGermany
  3. 3.Department of Information Engineering, Electrical Engineering and Applied MathematicsUniversity of SalernoSalernoItaly

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