Knowing what happened - automatic documentation of image analysis processes
ICVS'11 Proceedings of the 8th international conference on Computer vision systems
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Cell tissue in microscope images is often grained and its intensities do not well agree with Gaussian distribution assumptions widely used in many segmentation approaches. We present a new cascaded segmentation scheme for inhomogeneous cell tissue based on active contour models. Cell regions are iteratively expanded from initial nuclei regions applying a data-dependent number of optimization levels. Experimental results on a set of microscope images from a human hepatoma cell line prove high quality of the results with regard to the cell segmentation task and biomedical investigations.