Abstract

There are known the biologic or bionic models of contrasting neuronet on the basis of the Mach's optic strips, or the optical end effect, where of folding signals go through the process of illumination of the image. It is discovered, that the specific physical model of neuronet is given a demonstration of contrast as the line filter process. This is a many functional process contrast of the image or the signal а for other systems with its own assignment. That will be explained in more detail to the signaling contrast of in the different applications of nature, in science and technology. The systemic analysis of the neuronet and processes in the space frequency range, or in the usual frequency do the main of the permissive details, especially the process of viewing the contour image, the indicators of aptitude and parametric.Review of the neuronet structure and the neurons linkages “on” or “of” in admittance of adaptation system to the middle level of image and economics of the process.In addition, the structure of the neural network contrasting shows that the retina has a direct connection with the brain and memory. It can perform image processing similar to that of the Duhamel integral. Moreover, having in mind a large set of weight functions as impulse characteristics, you can get the desired output image. Such a neural system is adaptive for different purposes, or criteria’s. It can replace the entire set of required systems. To do this, it is enough to quickly change them in time impulse response and the purpose of the system.The neuronet and process contrast modeling permit to the extension the line filtration range of the images.

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