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In this paper, we propose an approach to the unsupervised segmentation ofimages using Markov Random Field. The proposed approach is based on the idea ofBit Plane Slicing. We use the planes as initial labellings for an ensemble ofsegmentations. With pixelwise voting, a robust segmentation approach can beachieved, which we demonstrate on microscope cell images. We tested ourapproach on a publicly available database, where it proven to be competitivewith other methods and manual segmentation.

An Unsupervised Ensemble-based Markov Random Field Approach to Microscope Cell Image Segmentation