Image enhancement for liver CT images
Yanmei Liang, Li Yang, Hailun Fan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
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.