The article proposes an algorithm for detecting the boundaries of objects of vertical and horizontal structures, fixed in various electromagnetic ranges. Different electromagnetic ranges can be used as analyzed data. To analyze the data and identify stable signs of boundaries, a combined algorithm for analyzing streaming video in the frequency and time domains is proposed. A multicriteria algorithm for primary data processing in the frequency domain is proposed. A modification of the multicriteria data filtering algorithm in the time domain is presented. An algorithm for complex data analysis has been developed for reconstructing the boundaries of objects. A combined algorithm for detecting the boundaries of objects has been developed. A condition has been developed for stable detection of object boundaries with the possibility of their detection. The description of the possibility of forming simplified images by analyzing one data channel and transferring the feature mask to other data channels is given. The effectiveness of the proposed algorithms was evaluated on test images. On the example of the analysis of combined data from the ultraviolet matrix of a video camera (stationary marks on objects) and a visible camera (changeable data from monitors). The applicability of the proposed approach for detecting combined control and positioning problems by industrial devices is shown. The fields of application and the possibility of integrating other data ranges are described.
The article presents a new approach to minimizing a multicriteria objective function that allows the operation of suppressing the noise component with the possibility of preserving the boundaries of sharp changes in brightness. Using this feature can also be used as an edge detector. The approach proposed in the paper is built on an iterative approach with the proof of the convergence of the function and the optimization of the rate of convergence. The weighted difference between the obtained estimates with different processing parameters is used as a detector. Dependences are given that reflect the result of processing smooth functions and functions with discontinuity points. The show the results of the work of the detector on a set of test data with objects of simple shapes. The results of the for solving the problem of detecting coating defects and determining the boundaries of the formation of plasma spheres during the formation of a surface layer are presented.
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