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Software systems and computational methods
Reference:
Krevetskiy A.V.
Aspects of the continuous associated image formation in problems of the group point objects recognition
// Software systems and computational methods.
2016. ¹ 4.
P. 392-402.
URL: https://en.nbpublish.com/library_read_article.php?id=68456
Krevetskiy A.V. Aspects of the continuous associated image formation in problems of the group point objects recognitionAbstract: The issues arising in the implementation of the technical approach to the recognition of the group point object (GPO) images on the basis of the binding elements of the continuous associated images (CAI) are considered. The basic CAI formation models of the point scene defocusing are analyzed. For bell-shaped and rectangular impulse response obtained defocusing filter selection rules limiting circuit CAI level with maximum fault tolerance quantization of the image brightness. Concretize methodology harmonization CAI model parameters with the density of the GPO members. For clarity and simplify the operator interface work with models CAI highlight - radius of the filter impulse response the ratio of the radius with a threshold localize spatially compact objects is obtained. Synthesized numerical method for the formation of base procedure ASO, characterized by one - two orders of magnitude higher performance than with an approach based on the fast Fourier transform for compact GPO. The method is based on the filtering properties of the deltoid brightness distribution GPO elements and limitations of the low pass filter window size based on the number of quantization levels of its impulse response. The results are aimed at ensuring the quality of the detection procedures, permits and GPO recognition in noisy images, set in a one-dimensional, two-dimensional and three-dimensional spaces in their technical implementation. Keywords: spatial compactness, model optimization, spatial localization, point scene analysis, image recognition, point field, continuous associated images, group point object, fast filtering, numerical methods
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