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Automatic segmentation and identification of the Mycobacterium tuberculosis in sputum images
Segmentación e identificación automática del Mycobacterium tuberculosis en imágenes de esputo
DOI:
https://doi.org/10.15446/ing.investig.v23n3.14707Keywords:
color segmentation, fluorescense microscopy, image processing, pattern recognition, tuberculosis (en)segmentación en color, procesamiento de imágenes, microscopia de fluorescencia, reconocimiento de patrones, tuberculosis (es)
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Tuberculosis is a very serious disease whose control is based on early diagnosis. A method frequently employed in its diagnosis consists of the sputum analysis in order to detect the Mycobacterium tuberculosis. The sputum examination demands a great amount of time and a good training of the specialist is required to avoid to commit a great numbers of errors. Image processing techniques can be helpful in examinations. Thus, this paper presents a new technique, it tries to improve the precision and diminish the time used in the analysis sputum samples. This techniques uses the linguistic knowledge about the characteristics of the bacilli, using the color information for segmentation and a classification tree for bacilli identification to establishing if a sample is positive or negative.
La tuberculosis es una grave enfermedad cuyo control está basado en el diagnóstico presuntivo. Un método frecuentemente utilizado para su diagnóstico es el análisis del esputo con el objetivo de detectar el Mycobacterium tuberculosis. El examen del esputo ocupa una gran cantidad de tiempo y se requiere un buen entrenamiento del especialista para evitar cometer un gran número de errores. Las técnicas de procesamiento de imágenes pueden ser de gran ayuda para realizar un examen. Así, se presenta una nueva técnica que pretende mejorar la precisión y disminuir el tiempo empleado en el análisis de muestras de esputo. Esta técnica emplea el conocimiento lingüístico acerca de las características de los bacilos, utilizando la información de color para la segmentación y un árbol de clasificación para la identificación de los bacilos con el fin de establecer si una muestra es positiva o negativa.
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Copyright (c) 2003 Manuel Guillermo Forero
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