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Comparing Images Based on Histograms of Local Interest Points

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Parallel Processing and Applied Mathematics (PPAM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8384))

Abstract

One of the key unresolved issues of image processing is the lack of methods for searching images similar to the reference image. This paper focuses on objects that there are in images and presents a method to compare the objects and search for images that contain objects belonging to the same classes. Taking advantage of the fact that local keypoints of images constitute a very good basis for further processing images, we use them for objects comparison. More precisely, the comparison of images is based on histograms, that are generated on the basis of the keypoints of objects contained in images. We present results of experiments which have been conducted for various classes of objects and histograms generated using the proposed method.

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Acknowledgments

The project was funded by the National Center for Science under decision number DEC-2011/01/D/ST6/06957.

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Authors and Affiliations

  1. Institute of Computational Intelligence, Czestochowa University of Technology, al. Armii Krajowej 36, 42–200, Czestochowa, Poland

    Tomasz Nowak, Marcin Gabryel, Marcin Korytkowski & Rafał Scherer

Authors
  1. Tomasz Nowak
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  2. Marcin Gabryel
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  3. Marcin Korytkowski
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  4. Rafał Scherer
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Corresponding author

Correspondence to Rafał Scherer .

Editor information

Editors and Affiliations

  1. Institute of Computer and Information Science, Czestochowa University of Technology, Czestochowa, Poland

    Roman Wyrzykowski

  2. University of Tennessee, Department of Computer Science, Knoxville, Tennessee, USA

    Jack Dongarra

  3. Institute of Computer and Information Science, Czestochowa University of Technology, Czestochowa, Poland

    Konrad Karczewski

  4. Technical University of Denmark Informatics and Mathematical Modelling, Kongens Lyngby, Denmark

    Jerzy Waśniewski

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Nowak, T., Gabryel, M., Korytkowski, M., Scherer, R. (2014). Comparing Images Based on Histograms of Local Interest Points. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2013. Lecture Notes in Computer Science(), vol 8384. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55224-3_40

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  • DOI: https://doi.org/10.1007/978-3-642-55224-3_40

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-55223-6

  • Online ISBN: 978-3-642-55224-3

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