THE IMAGE RECOGNITION SIGNALS, HAVING A COMPLEX SHAPE

In this paper we consider the problem of identifying the image signal based on the correlation approach. The classification of technical means related to image processing. Examples of two-dimensional images, which were considered during the recognition - Pentagon, hexagon, cross. We have developed a software product, based on which the research was conducted, associated with image recognition. The following is the block diagram of the algorithm of the developed program. For different types of noise (Gaussian, uniform, exponential) were determined the values of its amplitudes at which the algorithm stops correctly determine the reference image

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