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Article:Analysis of ZN-Stained Sputum Smear Enhanced Images for Identification of Mycobacterium Tuberculosis Bacilli Cells
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 23 - Number 5 |
| Year of Publication: 2011 |
| Authors: Jadhav Mukti, Kale K.V. |
10.5120/2882-3760
|
Jadhav Mukti, Kale K.V. . Article:Analysis of ZN-Stained Sputum Smear Enhanced Images for Identification of Mycobacterium Tuberculosis Bacilli Cells. International Journal of Computer Applications. 23, 5 ( June 2011), 10-16. DOI=10.5120/2882-3760
Abstract
The analysis of ZN-Stain sputum smear images for the proper identification of Mycobacterium tuberculosis. For controlling on TB the early detection of TB is important this detection of Tb through microscope, in low- and middle-income countries. ZN-Staining commonly used for detecting M.TB bacilli from sputum. Tuberculosis (TB) diagnosis by manual observation varies depending on the quality of the smear and skill of the pathologist .This manual screening method is time consuming, tedious & sometime it may confusing with some Non tuberculosis bacilli or some rod shape stain residue. Due to this we gets the faulty results. For this reason need of atomization is required. We present an enhancement method on images of Ziehl-Nelson stained sputum smears obtained using a bright field microscope. Some time the original images are noisy, degrade or blurred it need to preprocessing, enhancing the image for better result. Many of the scientist worked on gray level images or some used color images. We compare contrast stretching (High contrast) technique with sharping linear spatial filter by unsharp masking for improving the quality of ZN-Stained Sputum Smear image. The contrast stretching gives better results than the sharping image by linear spatial unsharp masking.
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