Аннотация
Improved methods for surface imaging of the damaged human tissues based on colorimetry and fuzzy evaluation of color types are presented. Based on the color segmentation of images of superficial damage of human soft tissues, the original image is divided into zones of different colors in accordance with the reference colors used. Further, on the basis of calculated relative zones of different colors for a large set of experimental data on surface damage of biological tissues with a known time of occurrence of prescription, a fuzzy knowledge base is formed, what allows to classify damages and establish their time of occurrence. A bruise color is formalized by a fuzzy set defined on a discrete universal set of colors, where the degree of belonging of a fuzzy set corresponds to the degree of manifestation of each color in the coloring. The degree of coloration in a fuzzy set is determined on the basis of expert-experimental data on the percentage of the area of each color in the coloration. The relationship “time of occurrence of a bruise - coloring” is given in the form of fuzzy rules IF-THEN, which associate fuzzy estimates of time with fuzzy sets of color types. The time range is divided by the expert into intervals of the minimum duration, during which a change in the bruise color is recorded. The decision on the time of occurrence of a bruise is made on the basis of the degree of closeness of the observed and tabular fuzzy color sets.