A new technology was developed to improve the visibility of blood vessels on images of tissues of hollow human organs(the alimentary tract and respiratory system) based on the relation between the color components of the image, the scattering properties of the tissue, and its hemoglobin content. A statistical operator was presented to convert the three-color image of the tissue into a parametric map objectively characterizing the concentration of hemoglobin in the tissue regardless of the illumination and shooting conditions. An algorithm for obtaining conversion parameters for image systems with known spectral characteristics was presented. An image of a multilayer multiple-scattering medium modeling bronchial tissue was synthesized and was used to evaluate the efficiency of the proposed conversion system. It was shown that the conversion made it possible to increase the contrast of the blood vessels by almost two orders of magnitude, to significantly improve the clarity of the display of their borders, and to eliminate almost completely the influence of background and nonuniform illumination of the medium in comparison with the original image.
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Translated from Zhurnal Prikladnoi Spektroskopii, Vol. 84, No. 3, pp. 419–427, May–June, 2017.
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Lisenko, S.A. Method for Separation of Blood Vessels on the Three-Color Images of Biological Tissues. J Appl Spectrosc 84, 439–447 (2017). https://doi.org/10.1007/s10812-017-0489-0
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DOI: https://doi.org/10.1007/s10812-017-0489-0