Efficient biomarkers for the characterization of bone tissue.

This work describes an expert system aimed to an accurate classification of cell tissue on microscopic images coming from studies of bone tissue regeneration from stem cells. We analyze a wide number of phenotype and color issues to build effective vectors of features for the subsequent characterization of tissue into five different classes: bone, cartilage, muscle, fiber and spine. The features selection includes texture, shape and color descriptors, among which we consider color histograms, Zernike moments and circular parameters.