Contrast Enhancement of Mycobacterium Tuberculosis Images Based on Improved Histogram Equalization

Chao XU; Dongxiang ZHOU; Keju PENG; Weihong FAN; Yunhui LIU

doi:10.1587/transinf.2016EDL8108

Contrast Enhancement of Mycobacterium Tuberculosis Images Based on Improved Histogram Equalization

Chao XU, Dongxiang ZHOU, Keju PENG, Weihong FAN, Yunhui LIU

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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.

Publication: IEICE TRANSACTIONS on Information Vol.E99-D No.11 pp.2847-2850

Publication Date: 2016/11/01

Publicized: 2016/07/27

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2016EDL8108

Type of Manuscript: LETTER

Category: Biological Engineering

Authors

Chao XU
  National University of Defense Technology
Dongxiang ZHOU
  National University of Defense Technology
Keju PENG
  National University of Defense Technology
Weihong FAN
  National University of Defense Technology
Yunhui LIU
  The Chinese University of Hong Kong

Keyword

contrast enhancement, tuberculosis, histogram equalization, PDF transformation

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Chao XU, Dongxiang ZHOU, Keju PENG, Weihong FAN, Yunhui LIU, "Contrast Enhancement of Mycobacterium Tuberculosis Images Based on Improved Histogram Equalization" in IEICE TRANSACTIONS on Information, vol. E99-D, no. 11, pp. 2847-2850, November 2016, doi: 10.1587/transinf.2016EDL8108.
Abstract: 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.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.2016EDL8108/_p

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@ARTICLE{e99-d_11_2847,
author={Chao XU, Dongxiang ZHOU, Keju PENG, Weihong FAN, Yunhui LIU, },
journal={IEICE TRANSACTIONS on Information},
title={Contrast Enhancement of Mycobacterium Tuberculosis Images Based on Improved Histogram Equalization},
year={2016},
volume={E99-D},
number={11},
pages={2847-2850},
abstract={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.},
keywords={},
doi={10.1587/transinf.2016EDL8108},
ISSN={1745-1361},
month={November},}

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TY - JOUR
TI - Contrast Enhancement of Mycobacterium Tuberculosis Images Based on Improved Histogram Equalization
T2 - IEICE TRANSACTIONS on Information
SP - 2847
EP - 2850
AU - Chao XU
AU - Dongxiang ZHOU
AU - Keju PENG
AU - Weihong FAN
AU - Yunhui LIU
PY - 2016
DO - 10.1587/transinf.2016EDL8108
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2016
AB - 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.
ER -