NEURAL NETWORK MODELS OF MORPHOLOGICAL OPERATORS FOR SEGMENTATION OF IMAGES OF BIOMEDICAL SIGNALS
In work the way of segmentation of the half-tone pictures, based on expansions space of signs at the expense of morphological operators and the subsequent its compression by use of the multilayered neural network realising operation of two-dimensional convolution and threshold processing is offered.