Segmentation of microscopic images of sputum stained by Ziehl - Nielsen using wavelet transform Mexican Hat

Background. Currently at bacterioscopic diagnosis of tuberculosis there is a large number of errors that is associated with a number of problems that can be solved by automated analysis of microscopic images of sputum. Automated image analysis usually consists of several stages: image segmentation a...

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Autores principales: A. N. Narkevich, K. A. Vinogradov, N. M. Koretskaya, V. O. Soboleva
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Lenguaje:RU
Publicado: Scientific Сentre for Family Health and Human Reproduction Problems 2017
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Acceso en línea:https://doaj.org/article/bda8248579e843f18460449012750733
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spelling oai:doaj.org-article:bda8248579e843f184604490127507332021-11-23T06:14:38ZSegmentation of microscopic images of sputum stained by Ziehl - Nielsen using wavelet transform Mexican Hat2541-94202587-959610.12737/article_59e859d55cf612.51311447https://doaj.org/article/bda8248579e843f184604490127507332017-09-01T00:00:00Zhttps://www.actabiomedica.ru/jour/article/view/447https://doaj.org/toc/2541-9420https://doaj.org/toc/2587-9596Background. Currently at bacterioscopic diagnosis of tuberculosis there is a large number of errors that is associated with a number of problems that can be solved by automated analysis of microscopic images of sputum. Automated image analysis usually consists of several stages: image segmentation and identification or recognition of objects in the image. The article examines the first of these stages - segmentation. The aim of the study was to investigate the possibility of segmenting a digital image of a microscopic preparation sputum, stained by the method of Ziehl - Nielsen, using wavelet transform Mexican Hat. Materials and methods. As research material we used 830 digital images obtained by microscopy of sputum smears stained by the method of Ziehl - Nielsen. For the automated segmentation of images we used two-dimensional wavelet transform of Mexican Hat Wavelet. Results. During the study we defined the optimal value of the a parameter, which is the only varying parameter of a wavelet Mexican Hat, and carried out the run-time evaluation of the wavelet transform digital microscopic images of sputum stained by the method of Ziehl - Nielsen. Conclusions. The conclusion is made about possibility of using two-dimensional wavelet transform Mexican Hat digital microscopic images of sputum stained by the method of Ziehl - Nielsen, for segmentation of these images.A. N. NarkevichK. A. VinogradovN. M. KoretskayaV. O. SobolevaScientific Сentre for Family Health and Human Reproduction Problemsarticlemedical imagingimage analysisautomatic data processingbacteriological technicpulmonary tuberculosisScienceQRUActa Biomedica Scientifica, Vol 2, Iss 5(1), Pp 141-146 (2017)
institution DOAJ
collection DOAJ
language RU
topic medical imaging
image analysis
automatic data processing
bacteriological technic
pulmonary tuberculosis
Science
Q
spellingShingle medical imaging
image analysis
automatic data processing
bacteriological technic
pulmonary tuberculosis
Science
Q
A. N. Narkevich
K. A. Vinogradov
N. M. Koretskaya
V. O. Soboleva
Segmentation of microscopic images of sputum stained by Ziehl - Nielsen using wavelet transform Mexican Hat
description Background. Currently at bacterioscopic diagnosis of tuberculosis there is a large number of errors that is associated with a number of problems that can be solved by automated analysis of microscopic images of sputum. Automated image analysis usually consists of several stages: image segmentation and identification or recognition of objects in the image. The article examines the first of these stages - segmentation. The aim of the study was to investigate the possibility of segmenting a digital image of a microscopic preparation sputum, stained by the method of Ziehl - Nielsen, using wavelet transform Mexican Hat. Materials and methods. As research material we used 830 digital images obtained by microscopy of sputum smears stained by the method of Ziehl - Nielsen. For the automated segmentation of images we used two-dimensional wavelet transform of Mexican Hat Wavelet. Results. During the study we defined the optimal value of the a parameter, which is the only varying parameter of a wavelet Mexican Hat, and carried out the run-time evaluation of the wavelet transform digital microscopic images of sputum stained by the method of Ziehl - Nielsen. Conclusions. The conclusion is made about possibility of using two-dimensional wavelet transform Mexican Hat digital microscopic images of sputum stained by the method of Ziehl - Nielsen, for segmentation of these images.
format article
author A. N. Narkevich
K. A. Vinogradov
N. M. Koretskaya
V. O. Soboleva
author_facet A. N. Narkevich
K. A. Vinogradov
N. M. Koretskaya
V. O. Soboleva
author_sort A. N. Narkevich
title Segmentation of microscopic images of sputum stained by Ziehl - Nielsen using wavelet transform Mexican Hat
title_short Segmentation of microscopic images of sputum stained by Ziehl - Nielsen using wavelet transform Mexican Hat
title_full Segmentation of microscopic images of sputum stained by Ziehl - Nielsen using wavelet transform Mexican Hat
title_fullStr Segmentation of microscopic images of sputum stained by Ziehl - Nielsen using wavelet transform Mexican Hat
title_full_unstemmed Segmentation of microscopic images of sputum stained by Ziehl - Nielsen using wavelet transform Mexican Hat
title_sort segmentation of microscopic images of sputum stained by ziehl - nielsen using wavelet transform mexican hat
publisher Scientific Сentre for Family Health and Human Reproduction Problems
publishDate 2017
url https://doaj.org/article/bda8248579e843f18460449012750733
work_keys_str_mv AT annarkevich segmentationofmicroscopicimagesofsputumstainedbyziehlnielsenusingwavelettransformmexicanhat
AT kavinogradov segmentationofmicroscopicimagesofsputumstainedbyziehlnielsenusingwavelettransformmexicanhat
AT nmkoretskaya segmentationofmicroscopicimagesofsputumstainedbyziehlnielsenusingwavelettransformmexicanhat
AT vosoboleva segmentationofmicroscopicimagesofsputumstainedbyziehlnielsenusingwavelettransformmexicanhat
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