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Criterion for optimal image resolution using SIFT

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Abstract

Image processing is used to check products in many factories. If we use down-sampled images, we can reduce the calculation time and the image noise. However, the accuracy of the detection also becomes low. The purpose of this article is to estimate the optimal image resolution for detection while keeping the accuracy of detection high. To achieve our purpose, we adopt the scale invariant feature transform (SIFT) as the criterion of the optimal image resolution. Finally, we confirm that our proposed method is useful with a simulation.

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Author information

Authors and Affiliations

  1. Osaka Prefecture University, 1-1 Gakuen-cho, Naka-ku, Sakai, Osaka, 599-8531, Japan

    Michifumi Yoshioka, Yasuo Maeda & Sigeru Omatu

Authors
  1. Michifumi Yoshioka
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  2. Yasuo Maeda
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  3. Sigeru Omatu
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Corresponding author

Correspondence to Michifumi Yoshioka.

Additional information

This work was presented in part at the 14th International Symposium on Artificial Life and Robotics, Oita, Japan, February 5–7, 2009

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Cite this article

Yoshioka, M., Maeda, Y. & Omatu, S. Criterion for optimal image resolution using SIFT. Artif Life Robotics 14, 24–28 (2009). https://doi.org/10.1007/s10015-009-0714-x

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  • DOI: https://doi.org/10.1007/s10015-009-0714-x

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