Color homogram for segmentation of fine needle biopsy images

Authors:
Andrzej Marciniak;Tomasz Nieczkowski;Andrzej Obuchowicz
Affiliations:
Institute of Control and Computation Engineering, University of Zielona Gora;Institute of Control and Computation Engineering, University of Zielona Gora;Institute of Control and Computation Engineering, University of Zielona Gora
Venue:
Machine Graphics & Vision International Journal
Year:
2008

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Abstract

In this paper, a new weighted clustering algorithm for image segmentation in cytopathology is introduced. The weights incorporating spatial information into pixel-based segmentation are computed with use of a color homogram. The effectiveness of the proposed solution is evaluated on microscopic fine needle biopsy (FNB) images. The results of the classical fuzzy c-means algorithm and its weighted modification are compared.