The article was aimed at studying the process of learning by the local difference threshold when filtering normal white noise. The existing learning algorithms for image processing were analyzed and their advantages and disadvantages were identified. The influence of normal white noise on the recognition process is considered. A method for organizing the learning process of the correlator with image preprocessing by the GQP method has been developed. The dependence of the average value of readings of the rank CCF (RCCF) of GQPs of the reference and current images, representing realizations of normal white noise, on the probability of formation of readings of zero GQP is determined. Two versions of the learning algorithm according to the described learning method are proposed. A technique for determining the algorithm efficiency estimate is proposed.
The article was aimed at improving the amplitude filtering process of the sampled image through the use of generalized Q-preparation. The existing correlation algorithms for image preprocessing were analyzed and their advantages and disadvantages were identified. The process of amplitude filtering and the main methods of preprocessing with such filtering were considered. A method of amplitude filtering of images based on the generalized Q-transformation with the use of sum-difference preprocessing of images has been developed. The efficiency of this method was analyzed, and a variant of the scheme for the corresponding preprocessing of images was proposed. The efficiency of the method was confirmed by computer simulation.
Considered method of finding energy fragments of images of laser tracks in real time and its application for image recognition problems are considered. Given theoretical information, experimental research and software implementation of the image recognition system similar to natural structures. Presented an analysis of recent work on neurobiology and work related to the modeling of neural mechanisms. The main problems in the existing work related to the modeling of information perception systems in a natural way have been identified. The aim of the study is the software application of the method of finding the energy centers of images in real time to optimize these energy centers. The task of the research is to analyze the application of the method of finding the energy centers of fragments of images of laser paths. Carried out the description of the method of analysis of images of laser tracks on the basis of determination of the center of gravity on the basis of moment signs is carried out. Described an example of work is given and the main functionality of the laser image processing program. Presented samples of reference images and individual fragments of long laser paths used in the experiments, as well as the curves of their energy centers. Shown computer simulation of laser path image processing was performed, as a result of which the adequacy of the calculated results.
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