Image enhancement for liver CT images

Yanmei Liang; Li Yang; Hailun Fan

doi:10.1117/12.837468

24 November 2009 Image enhancement for liver CT images

Yanmei Liang, Li Yang, Hailun Fan

Proceedings Volume 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology; 75130K (2009) https://doi.org/10.1117/12.837468
Event: International Conference on Optical Instrumentation and Technology, 2009, Shanghai, China

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.

Citation Download Citation

Yanmei Liang, Li Yang, and Hailun Fan "Image enhancement for liver CT images", Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 75130K (24 November 2009); https://doi.org/10.1117/12.837468

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