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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2017: Artificial Intelligence and Soft Computing pp 507–517Cite as

Local Keypoint-Based Image Detector with Object Detection

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10245))

Abstract

Accurate and efficient image content description is crucial for image retrieval systems. In the paper we propose a novel method to describe images by a combination of the SURF local keypoint detector and the Canny edge detector. Then, a crawler is used to detect objects. The experiments performed on state-of-the-art image dataset showed that the method generates less data than standalone local keypoint detectors.

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Author information

Authors and Affiliations

  1. Institute of Computational Intelligence, Czȩstochowa University of Technology, Al. Armii Krajowej 36, 42-200, Czȩstochowa, Poland

    Rafał Grycuk

  2. Faculty of Management, Czȩstochowa University of Technology, al. Armii Krajowej 19, 42-200, Czȩstochowa, Poland

    Magdalena Scherer

  3. Computer Science Department, University of Geneva, 7 Route de Drize, Geneva, Switzerland

    Sviatoslav Voloshynovskiy

Authors
  1. Rafał Grycuk
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  2. Magdalena Scherer
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  3. Sviatoslav Voloshynovskiy
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Corresponding author

Correspondence to Rafał Grycuk .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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Grycuk, R., Scherer, M., Voloshynovskiy, S. (2017). Local Keypoint-Based Image Detector with Object Detection. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2017. Lecture Notes in Computer Science(), vol 10245. Springer, Cham. https://doi.org/10.1007/978-3-319-59063-9_45

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  • DOI: https://doi.org/10.1007/978-3-319-59063-9_45

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