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.

A verification-based multithreshold probing approach to HEp-2 cell segmentation

PERCANNELLA, Gennaro;VENTO, Mario
2015

Abstract

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/4684472
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