Counting lymphocytes in histopathology images using connected components

Authors:
Felix Graf;Marcin Grzegorzek;Dietrich Paulus
Affiliations:
Institute of Computational Visualistics, University of Koblenz-Landau, Koblenz, Germany;Institute of Computational Visualistics, University of Koblenz-Landau, Koblenz, Germany;Institute of Computational Visualistics, University of Koblenz-Landau, Koblenz, Germany
Venue:
ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos
Year:
2010

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Abstract

In this paper, a method for automatic counting of lymphocytes in histopathology images using connected components is presented. Our multi-step approach can be divided into two main parts: processing of histopathology images, and recognition of interesting regions. In the processing part, we use thresholding and morphology methods as well as connected components to improve the quality of the images for recognition. The recognition part is based on a modified template matching method. The experimental results achieved for our algorithm prove its high robustness for this kind of applications.