Contrast Enhancement of Mycobacterium Tuberculosis Images Based on Improved Histogram Equalization

Chao XU  Dongxiang ZHOU  Keju PENG  Weihong FAN  Yunhui LIU  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E99-D   No.11   pp.2847-2850
Publication Date: 2016/11/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2016EDL8108
Type of Manuscript: LETTER
Category: Biological Engineering
Keyword: 
contrast enhancement,  tuberculosis,  histogram equalization,  PDF transformation,  

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Summary: 
There are often low contrast Mycobacterium tuberculosis (MTB) objects in the MTB images. Based on improved histogram equalization (HE), a framework of contrast enhancement is proposed to increase the contrast of MTB images. Our proposed algorithm was compared with the traditional HE and the weighted thresholded HE. The experimental results demonstrate that our proposed algorithm has better performance in contrast enhancement, artifacts suppression, and brightness preserving for MTB images.