Classification of image signals. Pretreatment of images. Mathematical morphology and morphological filters. Image segmentation. Transformation of distances and planning the shortest path. Representation of the image. Isolating properties. Estimates of parameters and distribution, methods of the nearest neighbor, linear discriminants. Reduction of dimensionality. PCA analysis, Fisher’s discriminant, selection of a subset of properties. Clustering, Bayesian classifiers, neural networks, Support Vector Machines. Identification and analysis of faces. Processing and classification of documents. Watermarks and steganography.