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Object detection in images with low light condition

dc.contributor.authorKvyetnyy, R.en
dc.contributor.authorMaslii, R.en
dc.contributor.authorHarmash, V.en
dc.contributor.authorBogach, I.en
dc.contributor.authorKotyra, A.en
dc.contributor.authorGrądz, Ż.en
dc.contributor.authorZhanpeisova, A.en
dc.contributor.authorAskarova, N.en
dc.contributor.authorКвєтний, Р. Н.uk
dc.contributor.authorМаслій, Р. В.uk
dc.contributor.authorГармаш, В. В.uk
dc.contributor.authorБогач, І. В.uk
dc.date.accessioned2021-11-17T13:11:55Z
dc.date.available2021-11-17T13:11:55Z
dc.date.issued2017
dc.identifier.citationObject detection in images with low light condition [Electronic resource] / R. N. Kvetnyy, R. V. Maslii, V. V. Harmash [et al.] // Proc. SPIE Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, Vol. 10445, № 104450W, 7 August 2017. – Poland, 2017. – Access mode: https://doi.org/10.1117/12.2281001.en
dc.identifier.citationKvyetnyy R., Maslii R., Harmash V., Bogach I., Kotyra A., Grądz Ż., Zhanpeisova A., Askarova N. Object detection in images with low light condition. Proc. SPIE Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, Vol. 10445, № 104450W, 7 August 2017. Poland, 2017. URI: https://doi.org/10.1117/12.2281001.en
dc.identifier.urihttp://ir.lib.vntu.edu.ua//handle/123456789/34205
dc.description.abstractImages acquired by computer vision systems under low light conditions are characterized by the existence of noises. As a rule, it results in decreasing object detection rate. To increase the object detection rate, the proper image preprocessing algorithm is needed. The paper presents the image denoising method based on bilateral filtering and wavelet thresholding. The boosting method for object detection that uses the modified Haar-like features which include Haar-like features and symmetrical local binary patterns are proposed. The proposed algorithm allows increasing object detection rate in comparison with Viola-Jones method for a case of face detection task. The algorithm was tested on the two image sets, Yale B and the proprietary – VNTU-458.en
dc.language.isoenen
dc.publisherSociety of Photo-Optical Instrumentation Engineersen
dc.relation.ispartofProc. SPIE Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, Vol. 10445, № 104450W, 7 August 2017.en
dc.relation.urihttps://doi.org/10.1117/12.2281001
dc.subjectobject detectionen
dc.subjectimage denoisingen
dc.subjectwavelet thresholdingen
dc.subjectbilateral filteringen
dc.titleObject detection in images with low light conditionen
dc.typeArticle


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