Automatic identification techniques of tuberculosis bacteria

Manuel Forero; Gabriel Cristobal; Josue Alvarez-Borrego

doi:10.1117/12.506800

19 November 2003 Automatic identification techniques of tuberculosis bacteria

Manuel Forero, Gabriel Cristobal, Josue Alvarez-Borrego

Proceedings Volume 5203, Applications of Digital Image Processing XXVI; (2003) https://doi.org/10.1117/12.506800
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

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.

Citation Download Citation

Manuel Forero, Gabriel Cristobal, and Josue Alvarez-Borrego "Automatic identification techniques of tuberculosis bacteria", Proc. SPIE 5203, Applications of Digital Image Processing XXVI, (19 November 2003); https://doi.org/10.1117/12.506800

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