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Computer Optics, 2017, Volume 41, Issue 3, Pages 406–411
DOI: https://doi.org/10.18287/2412-6179-2017-41-3-406-411
(Mi co400)
 

This article is cited in 11 scientific papers (total in 11 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Object detection in images using morphlet descriptions

Yu. V. Vizilter, V. S. Gorbatcevich, B. V. Vishnyakov, S. V. Sidyakin

State Research Institute of Aviation Systems (GosNIIAS), Moscow, Russia
References:
Abstract: An original method for object detection based on morphlet trees is proposed in the paper. It allows the robust detection of heterogeneous objects in images to be done without pre-training. Besides, the detection process simultaneously includes a preliminary segmentation, which can be later used for recognition. Also, there is another important characteristic: the proposed approach does not require the use of sliding windows and feature pyramids to detect different-scale objects.
Keywords: mathematical morphology, Pytiev morphology, object detection, morphlets.
Funding agency Grant number
Russian Foundation for Basic Research 15-07-09362 А
16-57-52042 МНТ_а
Russian Science Foundation 16-11-00082
This work was funded by RFBR grants 15-07-09362 А, 16-57-52042 МНТ_а and an RSF grant 16-11-00082.
Received: 17.12.2016
Accepted: 14.06.2017
Document Type: Article
Language: Russian
Citation: Yu. V. Vizilter, V. S. Gorbatcevich, B. V. Vishnyakov, S. V. Sidyakin, “Object detection in images using morphlet descriptions”, Computer Optics, 41:3 (2017), 406–411
Citation in format AMSBIB
\Bibitem{VizGorVis17}
\by Yu.~V.~Vizilter, V.~S.~Gorbatcevich, B.~V.~Vishnyakov, S.~V.~Sidyakin
\paper Object detection in images using morphlet descriptions
\jour Computer Optics
\yr 2017
\vol 41
\issue 3
\pages 406--411
\mathnet{http://mi.mathnet.ru/co400}
\crossref{https://doi.org/10.18287/2412-6179-2017-41-3-406-411}
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  • https://www.mathnet.ru/eng/co400
  • https://www.mathnet.ru/eng/co/v41/i3/p406
  • This publication is cited in the following 11 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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