Abstract

Mycobacterium Tuberculosis(M.TB) bacilli is causative agent of Tuberculosis. Manual detection method for M.TB is time consuming, tedious & sometime it may confuse with some stain residue & non tuberculosis bacilli. For this reason the need of atomization is required for exact identification of tuberculosis. We present a new method for M.TB bacilli cells recognition method using Moment invariant and Gaussian member function. The object i.e. M.TB bacilli cells are extracted using color segmentation method, from Ziehl-Neelsen (ZN) stained sputum smears images. These images have blue color background on which red color M.TB bacilli cells. The objects are extracted using color segmentation (thresholding) method and boundary detection. The various extracted shapes contain M. TB bacilli cells, non TB cells, stain residue etc, these extracted objects are preprocess using morphological dilation and then moment invariant feature extracted. Our main objective is to recognizes M.TB bacilli cells with the help of color segmentation & shape base feature moment invariants using Gaussian member function. The recognition rate of M.TB bacilli cells is obtaining 98.17%.

Highlights

  • The Mycobacterium Tuberculosis bacilli is the etiology of Tuberculosis(TB)

  • ZN staining is widely used and globally relevant to national TB program. It makes Mycobacterium TB bacilli cell has red in color and sputum cells has blue color background. Some time it may confuse with stain residue, non TB bacilli and artifacts so the need of another shape base parameter required improving accuracy of results

  • Blue color sputum smear is achieved by color segmentation

Read more

Summary

MYCOBACTERIUM TUBERCULOSIS BACILLI CELLS IDENTIFICATION USING MOMENT INVARIANT

Abstract- Mycobacterium Tuberculosis(M.TB) bacilli is causative agent of Tuberculosis. Manual detection method for M.TB is time consuming, tedious & sometime it may confuse with some stain residue & non tuberculosis bacilli. For this reason the need of atomization is required for exact identification of tuberculosis. We present a new method for M.TB bacilli cells recognition method using Moment invariant and Gaussian member function. The object i.e. M.TB bacilli cells are extracted using color segmentation method, from Ziehl-Neelsen (ZN) stained sputum smears images. TB bacilli cells, non TB cells, stain residue etc, these extracted objects are preprocess using morphological dilation and moment invariant feature extracted. Our main objective is to recognizes M.TB bacilli cells with the help of color segmentation & shape base feature moment invariants using Gaussian member function. Key words - Mycobacterium Tuberculosis (M.TB),ZN-Stained (Ziehl –Neelsen), Moment invariant, Gaussian membership function

Introduction
Sputum area NONTB
Gaussian Membership Function
Classe s
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.