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Proceedings Paper

Automatic identification techniques of tuberculosis bacteria
Author(s): Manuel Forero; Gabriel Cristobal; Josue Alvarez-Borrego
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Paper Abstract

Tuberculosis is a serious illness which control is mainly based on presumptive diagnosis. A technique commonly used consists of analyzing sputum images for detecting bacilli. However, the analysis of sputum is quite expensive, time consuming and requires highly trained personnel to avoid high errors. Image processing techniques provide a good tool for improving the manual screening of samples. In this paper we present a new bacilli detection technique with the aim to attain a high specificity rate and therefore for reducing the time required to analyze such sputum samples. This technique is based on the neuristic acknowlege extracted from the bacilli shape contour. It uses also the color information for image segmentation and finally a classification tree is used to categorize if a sample is positive or negative.

Paper Details

Date Published: 19 November 2003
PDF: 11 pages
Proc. SPIE 5203, Applications of Digital Image Processing XXVI, (19 November 2003); doi: 10.1117/12.506800
Show Author Affiliations
Manuel Forero, Instituto de Optica, CSIC (Spain)
Gabriel Cristobal, Instituto de Optica, CSIC (Spain)
Josue Alvarez-Borrego, CICESE (Mexico)


Published in SPIE Proceedings Vol. 5203:
Applications of Digital Image Processing XXVI
Andrew G. Tescher, Editor(s)

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