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Chinese Conference on Image and Graphics Technologies

IGTA 2015: Advances in Image and Graphics Technologies pp 333–339Cite as

An Adaptive Detection Algorithm for Small Targets in Digital Image

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 525))

Abstract

The target detection of digital image is one of the main content in computer vision research, which has a wider use. This paper presents an algorithm of the fuzzy small target detection for digital image. First, all the pixel values are looked as a set of elements with the corresponding address, and the small target is determined according to the need, so the image pixels are divided into two sets which includes target set and its complementary set; then the addresses of the storage target pixels are located; the next step to do is calculating the thresholds of target set and its complementary set; Finally, the binarization operation is applied to the small target set and its complement set by the calculated threshold. The test results show that this algorithm for small target detection is very effective.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, Jiangsu Normal University, Xuzhou, 221116, China

    Shumei Wang

Authors
  1. Shumei Wang
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Corresponding author

Correspondence to Shumei Wang .

Editor information

Editors and Affiliations

  1. Chinese Academy of Sciences Instute of Automation, Beijing, China

    Tieniu Tan

  2. Beijing Jiaotong University, Beijing, China

    Qiuqi Ruan

  3. Tsinghua University, Beijing, China

    Shengjin Wang

  4. Tsinghua University, Beijing, China

    Huimin Ma

  5. Chinese Academy of Sciences, Beijing, China

    Kaichang Di

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© 2015 Springer-Verlag Berlin Heidelberg

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Wang, S. (2015). An Adaptive Detection Algorithm for Small Targets in Digital Image. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Di, K. (eds) Advances in Image and Graphics Technologies. IGTA 2015. Communications in Computer and Information Science, vol 525. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47791-5_38

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  • DOI: https://doi.org/10.1007/978-3-662-47791-5_38

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47790-8

  • Online ISBN: 978-3-662-47791-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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