Local feature extraction in images

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dc.contributor.authorSergiyenko, Anatoliy
dc.contributor.authorSerhiienko, Pavlo
dc.contributor.authorOrlova, Mariia
dc.date.accessioned2023-04-19T09:56:24Z
dc.date.available2023-04-19T09:56:24Z
dc.date.issued2021
dc.description.abstractThe methods of the local feature point extraction are analyzed. The analysis shows that the most effective detectors are based on the brightness gradient determination. They usually use the Harris angle detector, which is complex in calculations. The algorithm complexity minimization contradicts both the detector effectiveness and to the high dynamic range of the analyzed image. As a result, the high-speed methods could not recognize the feature points in the heavy luminance conditions. The modification of the high dynamic range (HDR) image compression algorithm based on the Retinex method is proposed. It contains an adaptive filter, which preserves the image edges. The filter is based on a set of feature detectors performing the Harris-Laplace transform which is much simpler than the Harris angle detector. A prototype of the HDR video camera is designed which provides sharp images. Its structure simplifies the design of the artificial intelligence engine, which is implemented in FPGA of medium or large size.uk
dc.format.pagerangePp. 35-47uk
dc.identifier.citationSergiyenko, A. Local feature extraction in images / Sergiyenko Anatoliy, Serhiienko Pavlo, Orlova Mariia // Information, Computing and Intelligent systems. – 2021. – No. 2. – Pp. 35–47. – Bibliogr.: 43 ref.uk
dc.identifier.doihttps://doi.org/10.20535/2708-4930.2.2021.244191
dc.identifier.orcid0000-0001-5965-1789uk
dc.identifier.orcid0000-0003-3030-0074uk
dc.identifier.orcid0000-0002-6617-4631uk
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/54713
dc.language.isoenuk
dc.publisherNational Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"uk
dc.publisher.placeKyivuk
dc.relation.ispartofInformation, Computing and Intelligent systems, No. 2uk
dc.subjectFPGAuk
dc.subjectfeature extractionuk
dc.subjectHDRuk
dc.subjectpattern recognitionuk
dc.subjectartificial intelligenceuk
dc.subject.udc004.383uk
dc.titleLocal feature extraction in imagesuk
dc.typeArticleuk

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Information, Computing and Intelligent systems, No. 2