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Proceedings Paper

Image enhancement for liver CT images
Author(s): Yanmei Liang; Li Yang; Hailun Fan
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Paper Abstract

Image enhancement methods for liver computed tomography (CT) images are studied in this paper. The liver region is first segmented from the whole CT image by simply using the characteristics of the gray distribution and the size of the liver; some algorithms are then used to enhance the contrast of the segmented liver image. The method of selective histogram equalization is proposed to enhance the segmented liver CT image. Some existing enhancement algorithms are explored and compared on the effect of the enhancement. It is proven from the experimental results that by this two-step method, namely, the segmentation-enhancement method, the visual effect of the segmented image can be effectively improved and the focus is obviously highlighted.

Paper Details

Date Published: 24 November 2009
PDF: 8 pages
Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 75130K (24 November 2009); doi: 10.1117/12.837468
Show Author Affiliations
Yanmei Liang, Nankai Univ. (China)
Li Yang, Nankai Univ. (China)
Hailun Fan, Tianjin Medical Univ. General Hospital (China)


Published in SPIE Proceedings Vol. 7513:
2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology
Toru Yoshizawa; Ping Wei; Jesse Zheng, Editor(s)

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