• Journal of Innovative Optical Health Sciences
  • Vol. 6, Issue 2, 1350009 (2013)
OLEG O. MYAKININ1、*, DMITRY V. KORNILIN1, IVAN A. BRATCHENKO1, VALERIY P. ZAKHAROV1, and ALEXANDER G. KHRAMOV2
Author Affiliations
  • 1Photonics Laboratory Samara State Aerospace University Moskovskoe shosse 34, Samara, Russia 443086, Russia
  • 2Laboratory of Laser Measurements Image Processing System Institute of Russian Academy of Science Molodogvardeyskaya Street 151, Samara 443001, Russia
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    DOI: 10.1142/s1793545813500090 Cite this Article
    OLEG O. MYAKININ, DMITRY V. KORNILIN, IVAN A. BRATCHENKO, VALERIY P. ZAKHAROV, ALEXANDER G. KHRAMOV. NOISE REDUCTION METHOD FOR OCT IMAGES BASED ON EMPIRICAL MODE DECOMPOSITION[J]. Journal of Innovative Optical Health Sciences, 2013, 6(2): 1350009 Copy Citation Text show less

    Abstract

    In this paper, the new method for OCT images denoizing based on empirical mode decomposition (EMD) is proposed. The noise reduction is a very important process for following operations to analyze and recognition of tissue structure. Our method does not require any additional operations and hardware modifications. The basics of proposed method is described. Quality improvement of noise suppression on example of edge-detection procedure using the classical Canny's algorithm without any additional pre- and post-processing operations is demonstrated. Improvement of rawsegmentation in the automatic diagnostic process between a tissue and a mesh implant is shown.
    OLEG O. MYAKININ, DMITRY V. KORNILIN, IVAN A. BRATCHENKO, VALERIY P. ZAKHAROV, ALEXANDER G. KHRAMOV. NOISE REDUCTION METHOD FOR OCT IMAGES BASED ON EMPIRICAL MODE DECOMPOSITION[J]. Journal of Innovative Optical Health Sciences, 2013, 6(2): 1350009
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