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.
Considered modern problems of laser image processing. An analysis of existing solutions and recent research in the field of image processing of laser beam. Determined that the latter solutions have a number of disadvantages in terms of increasing the speed and density of information flow. There are also problems with excessive power consumption during image processing due to excess power. Also presented method of processing image of laser beam with the use of FPGA and parallelhierarchical transformation. Performing simulation modeling of methods for processing the coordinates of laser beam spots and its results are presented. Presented comparison of the results of image processing using a personal computer and using FPGA. The obtained results allow to evaluate the efficiency of FPGA application and methods with the use of parallel-hierarchical transformation during image processing of laser beams. Due to low power consumption and efficient image processing using FPGA and parallelhierarchical transformation - this technology has great prospects for use in the automotive industry. It can be used to improve the development of unmanned vehicle control, especially for electric vehicles.
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