Color homogram for segmentation of fine needle biopsy images
Andrzej Marciniak, Tomasz Nieczkowski, Andrzej Obuchowicz · Machine Graphics & Vision International Journal archive · 2008
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.