In abstract methods of automation of histology of bone structure are considered. Possible inputs are snapshots of a microscope or computed tomography slices. An algorithm is proposed that differentiates object according to their color (or grayscale) and recover morphology topology. Algorithm to separate morphological objects by their dimensions and color parameters was built. Measured parameters are bone surface, bone area, porosity, cortical thickness, canal number, canal area and etc. Additionally was measured the anisotropy properties of the bone tissue: distribution of porosity direction and degree of porosity elongation. A bone example was scanned by computed tomography. All data were measured by the proposed method and the results presented. As an example algorithm of work on computed tomography data is shown in this work.
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