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A digital image processing method for detecting tuberculosis (TB) is presented. First, a reference representing the specialists' determination of TB bacilli on a digital image is validated. And the noise in the signal intensities is evaluated to quantify the image capture system. A simple algorithm is proposed for identification of the bacillus, by means of only thresholding in the color channels...
The digital image processing has been applied in several areas, especially where it is necessary use tools for feature extraction and to get patterns of the studied images. In an initial stage, the segmentation is used to separate the image in parts that represents a interest object, that may be used in a specific study. There are several methods that intends to perform such task, but is difficult...
We present a preliminary work as a proof of concept on how image processing algorithms can be applied to detect and diagnose Tuberculosis in microscopic images of sputum samples stained with the Ziehl-Neelsen method. 300 images were acquired at the Hospital Nacional Dos de Mayo and processed using edge detection and mathematical morphology to extract objects of interest. Bacilli are discriminated...
The following topics are dealt with: environmental health effects; biomedical transducers; medical signal processing; blood flow measurement; respiratory infections; medical image processing; medical diagnostic computing; prosthesis; sonoelastography; patient rehabilitation; telemedicine; medical robotics; electronic patient record.
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