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Sharp Images Detection for Microscope Pollen Slides Observation

Part of the Lecture Notes in Computer Science book series (LNAI,volume 11431)

Abstract

In this paper, a new preprocessing algorithm to qualify images of different pollen grains for further processing is proposed. This algorithm provides a score related to the sharpness of the image and will be used to automatically adjust the focal length of a microscope that magnifies the image. The obtained score has been compared to four quality metrics generally used to estimate the clarity of an image and to a reference made by a human. The results of the simulations show that the proposed algorithm combines better performance with low complexity on the set of images.

Keywords

  • Microscope slide image acquisition
  • Sharp image detection
  • Fourier transform

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  • DOI: 10.1007/978-3-030-14799-0_57
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Acknowledgment

The authors would like to gratefully acknowledge the support of the National Research Agency and the STAE foundation under the auspices of the Saint-Exupery Technological Research Institute without which the present study could not have been completed.

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Correspondence to Aysha Kadaikar .

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Kadaikar, A. et al. (2019). Sharp Images Detection for Microscope Pollen Slides Observation. In: Nguyen, N., Gaol, F., Hong, TP., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2019. Lecture Notes in Computer Science(), vol 11431. Springer, Cham. https://doi.org/10.1007/978-3-030-14799-0_57

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  • DOI: https://doi.org/10.1007/978-3-030-14799-0_57

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-14798-3

  • Online ISBN: 978-3-030-14799-0

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