COLOR DESCRIPTORS FOR CYTOLOGY SMEAR IMAGES ANALYSIS

The technique Pap conventional cytology is used as a means of screening to identify normal and abnormal cells, which can prevent cervical cancer. However, a high level of expertise by the cytopathologist performing screening is required, and considering the number of samples to be examined in a work...

Descripción completa

Detalles Bibliográficos
Autores Principales: Saenz, Jose Gabriel, Camargo, Luz Helena, Camargo, Esperanza
Formato: Artículo (Article)
Lenguaje:Español (Spanish)
Publicado: Universidad Distrital Francisco José de Caldas 2015
Materias:
Acceso en línea:http://hdl.handle.net/11349/21867
id ir-11349-21867
recordtype dspace
spelling ir-11349-218672019-09-19T21:53:34Z COLOR DESCRIPTORS FOR CYTOLOGY SMEAR IMAGES ANALYSIS Saenz, Jose Gabriel Camargo, Luz Helena Camargo, Esperanza Cell imaging of cervical screening Cervical cancer Dominant color descriptor Color layout descriptor The technique Pap conventional cytology is used as a means of screening to identify normal and abnormal cells, which can prevent cervical cancer. However, a high level of expertise by the cytopathologist performing screening is required, and considering the number of samples to be examined in a working day, increasing the possibility of error. Therefore, several strategies have been implemented to automate this process by taking the original image and converting to grayscale, but this way the information related to the color is lost, a feature that provides a high discriminative power of the elements of interest (nucleus and cytoplasm).In this work images obtained in a database of public domain cell cervical cytology, a step of preprocessing was applied to correct lighting and eliminate image noise, then color two descriptors were implemented; the Dominant Color Descriptor (DCD) and the Descriptor of the Distribution of Color (DDC) for characterizing the content of the images. As a result of this study the implementation of a preprocessing stage in the cell image analysis of cervical cytology combined with the use of information related to the color achieved effectively make detection nucleus and cytoplasm, able to develop a method automatic detection of abnormal cells and thus prevent cervical cancer. 2015-12-28 2019-09-19T21:53:34Z 2019-09-19T21:53:34Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://revistas.udistrital.edu.co/index.php/visele/article/view/9873 10.14483/22484728.9873 http://hdl.handle.net/11349/21867 spa https://revistas.udistrital.edu.co/index.php/visele/article/view/9873/10983 Derechos de autor 2015 Visión Electrónica: algo más que un estado sólido application/pdf Universidad Distrital Francisco José de Caldas Visión electrónica; Vol 8 No 2 (2014); 67-73 Visión electrónica; Vol. 8 Núm. 2 (2014); 67-73 2248-4728 1909-9746
institution Universidad Distrital Francisco José de Caldas
collection DSpace
language Español (Spanish)
topic Cell imaging of cervical screening
Cervical cancer
Dominant color descriptor
Color layout descriptor
spellingShingle Cell imaging of cervical screening
Cervical cancer
Dominant color descriptor
Color layout descriptor
Saenz, Jose Gabriel
Camargo, Luz Helena
Camargo, Esperanza
COLOR DESCRIPTORS FOR CYTOLOGY SMEAR IMAGES ANALYSIS
description The technique Pap conventional cytology is used as a means of screening to identify normal and abnormal cells, which can prevent cervical cancer. However, a high level of expertise by the cytopathologist performing screening is required, and considering the number of samples to be examined in a working day, increasing the possibility of error. Therefore, several strategies have been implemented to automate this process by taking the original image and converting to grayscale, but this way the information related to the color is lost, a feature that provides a high discriminative power of the elements of interest (nucleus and cytoplasm).In this work images obtained in a database of public domain cell cervical cytology, a step of preprocessing was applied to correct lighting and eliminate image noise, then color two descriptors were implemented; the Dominant Color Descriptor (DCD) and the Descriptor of the Distribution of Color (DDC) for characterizing the content of the images. As a result of this study the implementation of a preprocessing stage in the cell image analysis of cervical cytology combined with the use of information related to the color achieved effectively make detection nucleus and cytoplasm, able to develop a method automatic detection of abnormal cells and thus prevent cervical cancer.
format Artículo (Article)
author Saenz, Jose Gabriel
Camargo, Luz Helena
Camargo, Esperanza
author_facet Saenz, Jose Gabriel
Camargo, Luz Helena
Camargo, Esperanza
author_sort Saenz, Jose Gabriel
title COLOR DESCRIPTORS FOR CYTOLOGY SMEAR IMAGES ANALYSIS
title_short COLOR DESCRIPTORS FOR CYTOLOGY SMEAR IMAGES ANALYSIS
title_full COLOR DESCRIPTORS FOR CYTOLOGY SMEAR IMAGES ANALYSIS
title_fullStr COLOR DESCRIPTORS FOR CYTOLOGY SMEAR IMAGES ANALYSIS
title_full_unstemmed COLOR DESCRIPTORS FOR CYTOLOGY SMEAR IMAGES ANALYSIS
title_sort color descriptors for cytology smear images analysis
publisher Universidad Distrital Francisco José de Caldas
publishDate 2015
url http://hdl.handle.net/11349/21867
_version_ 1712444257818640384
score 12,131701