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Proceedings Paper

Application of microscopic image dynamic range enhancement in sputum smear tuberculosis intelligent examination
Author(s): Ping Zhong; Nian Luo; Chen-jie Song
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Paper Abstract

The bacteriological microscopic examination of sputum smear for tuberculosis is the most important means of diagnosis and experiments for tuberculosis. Through micro-imaging systems, machine vision systems, digital image processing and computer pattern recognition technology, dynamic intelligent recognition and counting of TB-DNA could be realized. However, the dynamic range of CCD image sensor is limited. The information of TB-DNA could not be fully recorded on microscopic image. In this paper, an effective method to extend the image dynamic range through merging multiple exposure images is proposed. The microscopic images of the same scene with different exposure are taken by rotating the disk-shaped optical grads attenuator that installed under the objective lens of microscopic system to control the illumination. These different exposure images are processed firstly to get irradiance response function of the imaging system, and then the high dynamic range microscopic image (HDRMI) could be obtained. Through the mapping algorithm the dynamic range of HDRMI is compressed in order to been displayed on the general display devices, which not only highlight the feature information of bacillus but also maintain the overall contrast of original microscopic image. The method proposed can effectively express the image information of the bright areas and dark areas in the scenes and enhance the image details and color characteristics. The quality of micro-imaging systems is improved. It is proved that the method proposed in the paper can enhance the resolution and stability of the TB image recognition through the experiment.

Paper Details

Date Published: 31 August 2009
PDF: 7 pages
Proc. SPIE 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging, 73824F (31 August 2009); doi: 10.1117/12.835601
Show Author Affiliations
Ping Zhong, Dong Hua Univ. (China)
Nian Luo, Dong Hua Univ. (China)
Chen-jie Song, Dong Hua Univ. (China)


Published in SPIE Proceedings Vol. 7382:
International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging
Farzin Amzajerdian; Chun-qing Gao; Tian-yu Xie, Editor(s)

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