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A Novel Noise Modeling for Object Detection Using Uncalibrated Difference Image

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Computational and Information Science (CIS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3314))

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Abstract

In order to extract the region of an object from an image, the difference image method is attractive since it is computationally inexpensive. However, the difference image is not frequently used due to the noise in the difference image. In this paper, we analyze the noise in an uncalibrated difference image and propose a statistical noise calibration method. In the experiment, the proposed method is verified using a real image.

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Author information

Authors and Affiliations

  1. Intelligent Design and Graphics laboratory, Department of Mechatronics, Gwangju Institute Science and Technology (GIST), 1 Oryong-dong, Buk-gu, Gwangju, 500-712, Korea

    Joungwook Park & Kwan H. Lee

Authors
  1. Joungwook Park
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  2. Kwan H. Lee
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Editor information

Editors and Affiliations

  1. School of Electronic Science and Technology, Anhui University, Hefei, Anhui, China

    Jun Zhang

  2. College of Science, Donghua University, 1882 Yan’an Xilu Road, 20051, Shanghai, China

    Ji-Huan He

  3. BASICS, Department of Computer Science and Engineering, Shanghai Jiao Tong University, 200030, Shanghai, China

    Yuxi Fu

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© 2004 Springer-Verlag Berlin Heidelberg

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Park, J., Lee, K.H. (2004). A Novel Noise Modeling for Object Detection Using Uncalibrated Difference Image. In: Zhang, J., He, JH., Fu, Y. (eds) Computational and Information Science. CIS 2004. Lecture Notes in Computer Science, vol 3314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30497-5_185

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  • DOI: https://doi.org/10.1007/978-3-540-30497-5_185

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24127-0

  • Online ISBN: 978-3-540-30497-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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