NOISE REDUCTION METHOD FOR OCT IMAGES BASED ON EMPIRICAL MODE DECOMPOSITION-Reference-Cited by-同舟云学术

NOISE REDUCTION METHOD FOR OCT IMAGES BASED ON EMPIRICAL MODE DECOMPOSITION

Published:2013-04 Issue:02 Volume:06 Page:1350009
ISSN:1793-5458
Container-title:Journal of Innovative Optical Health Sciences
language:en
Short-container-title:J. Innov. Opt. Health Sci.

Author:

MYAKININ OLEG O.¹,KORNILIN DMITRY V.¹,BRATCHENKO IVAN A.¹,ZAKHAROV VALERIY P.¹,KHRAMOV ALEXANDER G.²

Affiliation:

1. Photonics Laboratory, Samara State Aerospace University, Moskovskoe shosse 34, Samara, Russia 443086, Russia

2. Laboratory of Laser Measurements, Image Processing System Institute of Russian Academy of Science, Molodogvardeyskaya Street 151, Samara 443001, Russia

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 raw-segmentation in the automatic diagnostic process between a tissue and a mesh implant is shown.

Publisher

World Scientific Pub Co Pte Lt

Subject

Biomedical Engineering,Atomic and Molecular Physics, and Optics,Medicine (miscellaneous),Electronic, Optical and Magnetic Materials

Link

https://www.worldscientific.com/doi/pdf/10.1142/S1793545813500090

Reference13 articles.

1. Optical Coherence Tomography

2. Digital Image Enhancement and Noise Filtering by Use of Local Statistics

3. Adaptive Noise Smoothing Filter for Images with Signal-Dependent Noise

4. A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise

5. Improvement of Lesion Detectability by Speckle Reduction Filtering: A Quantitative Study

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