The comparison of different methods of selection of signs for identification of objects on digital images of microscopic preparations of sputum, colored by the method of tsilya-Nilsen. The following methods were considered: the method of intersections, Shannon, kulbaka and accumulated frequencies. It is concluded that the method of intersections allows the selection of features from the entire feature space so that the classification models allow to obtain the maximum accuracy of classification with the least number of input parameters.

Keywords: method Ziehl-Nielsen, object recognition, image recognition, selection of features, the method of cumulative frequencies, the method of Shannon, Kullback, the method of intersections, logistic regression, classification tree, discriminant analysis