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...
Guardado en:
Autores principales: | , , , |
---|---|
Formato: | article |
Lenguaje: | RU |
Publicado: |
Scientific Сentre for Family Health and Human Reproduction Problems
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/bda8248579e843f18460449012750733 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:bda8248579e843f18460449012750733 |
---|---|
record_format |
dspace |
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 |
_version_ |
1718417031479427072 |