Comparison of image fusion and focus function-based techniques for autofocusing in fluorescence microscopy for tuberculosis screening
by Ronald Dendere; Otolorin A. Osibote; Sriram Krishnan; Tania S. Douglas
International Journal of Medical Engineering and Informatics (IJMEI), Vol. 5, No. 2, 2013

Abstract: Manual screening of sputum smear slides for tuberculosis using microscopy is a time consuming exercise that strains laboratory resources in regions with high prevalence of the disease. A system to automatically screen smears would benefit such areas by reducing the reliance on technicians. The first step of such a system would be to ensure that the slide is optimally focused. In this paper, we compare the use of a focus measure and wavelet-based image fusion for automatic focusing of sputum smear slides for fluorescence microscopy to detect tuberculosis. Our objective is to obtain the sharpest image for input into further processing stages in the identification of Mycobacterium tuberculosis. We use manual focusing as ground truth and assess the performance of the two methods by comparing segmented bacillus borders in the autofocused images with those in the manually focused images. Image fusion-based focusing performs marginally better than focus measure-based focusing.

Online publication date: Tue, 28-Jan-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Medical Engineering and Informatics (IJMEI):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com