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Optical Micro-scanning Reconstruction Technique for a Thermal Microscope Imaging System

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Medical Imaging and Computer-Aided Diagnosis (MICAD 2020)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 633))

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Abstract

Thermal microscope imaging system can achieve the detection of subtle targets by temperature changes, which has extensive utility value in some respects that need detailed thermal analysis. Due to the mechanical preparation of the system, working vibration, external environment and other factors of interference, which will affect the precision of the micro-scanning system, Causing the micro-displacement of the four images acquired by the system deviate from the standard position. Therefore affecting the quality of subsequent image reconstruction. To minimize the impact of these factors, a micro-scanning reconstruction technique based on local gradient interpolation was proposed. The simulation and experiment demonstrate that the method can decrease the system micro-scanning error and enhance image reconstruction quality.

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References

  1. Zhou, L.: Photoelectronic imaging: towards the new century. J. Beijing Inst. Technol. 22(1), 1–12 (2002). (in Chinese)

    MathSciNet  Google Scholar 

  2. McIntosh, L.M., Mansfield, J.R., Jackson, M., Neil Crowson, A., Mantsch, H.H.: Infrared imaging of skin lesions. Proc. SPIE 4577, 226–229 (2002)

    Article  Google Scholar 

  3. Jin, W., Hou, G., Liu, G.: Uncooled FPA thermal imaging technology and its application. Infrared Technology 20(6), 6–11 (1998). (in Chinese)

    Google Scholar 

  4. Suriani, M.J., Ali, A., Khalina, A., Sapuana, S.M., Abdullah, S.: Detection of defects in Kenaf/Epoxy using infrared thermal imaging technique. Procedia Chem. 4(12), 172–178 (2012)

    Article  Google Scholar 

  5. Morikawa, J., Hayakawa, E., Hashimoto, T.: Application of micro-scale thermography to the thermal analysis of polymeric and organic materials. Proc. SPIE 8013, 1–6 (2011)

    Google Scholar 

  6. Ankur, J.N., Goodson Kenneth, E.: Thermal microdevices for biological and biomedical applications. J. Thermal Biol. 36, 209–218 (2011)

    Article  Google Scholar 

  7. Morikawa, J., Hayakawa, E., Hashimoto, T.: Micro-scale thermal imaging of organic and polymeric materials with cooled and uncooled infrared cameras. Adv. Opt. Technol. 2012, 1–8 (2012)

    Article  Google Scholar 

  8. Gao, M., Jin, W.: Digital thermal microscope for biomedical application. In: 2007 IEEE/ ICME International Conference on Complex Medical Engineering, pp. 1878–1882 (2007)

    Google Scholar 

  9. Gao, M., Jin, W., Wang, X., et al.: Study on the noise equivalent temperature difference and noise equivalent eradiation difference mathematical models for micro thermal imaging systems. Trans. Beijing Inst. Technol. 27(1), 50–54 (2007)

    Google Scholar 

  10. Gao, M., Jin, W., Wang, X., et al.: Design and implementation of optical micro-scanning thermal microscope imaging system with high resolution. Chin. J. Sci. Instr. 30(5), 1037–1041 (2009)

    Google Scholar 

  11. Gao, M., Jin, W., Wang, X., et al.: Inter-Frame difference oversample reconstruction for optical microscanning thermal microscope imaging system. Trans. Beijing Inst. Technol. 29(8), 705–707 (2009)

    Google Scholar 

  12. Gao, M., Jie, X., Tan, A., Zhenglong, Z., Yang, M., Wang, J.: Error correction based on micro-scanning preprocessing for an optical micro-scanning thermal microscope imaging system. Infrared Phys. Technol. 83, 252–258 (2017)

    Article  Google Scholar 

  13. Gao, M., Jin, W., Wang, X., Jie, Yu.: Zero calibration for the designed microscanning thermal microscopic imaging system. Acta Optica Sinica 29(8), 2175–2179 (2009)

    Article  Google Scholar 

  14. Bai, J.-q., Chen, Q.: Infrared microscanning imaging technique based on locally gradient feature. Acta Photonica Sinica 37(11), 2253–2256 (2008)

    Google Scholar 

  15. Han, Y., Lenan, W.: Super resolution reconstruction of video sequence based on adaptive filter. Chin. J. Comput. 29(4), 642–647 (2006)

    Google Scholar 

  16. Gao, M., Wang, J., Wei, X., Guan, C.: High-resolution over-sampling reconstruction algorithm for a microscanning thermal microscope imaging system. Infrared Phys. Technol. 76, 661–666 (2016)

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by NSFC - China (61971373) and Natural Science Foundation of Hebei Province - China (F2019203440) and Science and Technology Support Projects of Key research and Development Plans of Qinhuangdao City - China (201801B010) and Postgraduate innovation ability training funding project of Hebei Provincial Department of Education - China(CXZZSS2019050).

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Correspondence to Mei-Jing Gao .

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Gao, MJ., Liu, Z., Wang, LZ., Zhang, BZ., Li, SY. (2020). Optical Micro-scanning Reconstruction Technique for a Thermal Microscope Imaging System. In: Su, R., Liu, H. (eds) Medical Imaging and Computer-Aided Diagnosis. MICAD 2020. Lecture Notes in Electrical Engineering, vol 633. Springer, Singapore. https://doi.org/10.1007/978-981-15-5199-4_13

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  • DOI: https://doi.org/10.1007/978-981-15-5199-4_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5198-7

  • Online ISBN: 978-981-15-5199-4

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