Open AccessRapid autofocusing via 1 bit transform for real‐time system to detect Mycobacterium tuberculosis
Author(s) -
Jung C.
Publication year - 2014
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2013.3562
Subject(s) - autofocus , computer science , sputum , computer vision , artificial intelligence , block (permutation group theory) , reduction (mathematics) , tuberculosis , mathematics , focus (optics) , optics , medicine , pathology , physics , geometry
Autofocusing is a key building block in the modern automated high‐throughput systems for a quantitative analysis of microscopy images. For that reason, it has received great attention, and diverse autofocus algorithms have been proposed in the literature. A fast autofocus algorithm is presented in order to build a real‐time system for diagnosing the sputum smear samples. The method involves transforming the sputum smear fluorescence images from a multibit to a 1 bit/pixel representation. This results in a substantial reduction in the computational cost, while maintaining a good focusing performance. Experimental results are presented to validate the feasibility and the effectiveness of the proposed method.