  This article suggests an algorithm of formation a training set for artificial
neural network in case of image segmentation. The distinctive feature of this
algorithm is that it using only one image for segmentation. The segmentation
performs using three-layer perceptron. The main method of the segmentation is a
method of region growing. Neural network is using for get a decision to include
pixel into an area or not. Impulse noise is using for generation of a training
set. Pixels damaged by noise are not related to the same region. Suggested
method has been tested with help of computer experiment in automatic and
interactive modes.
