Study on the methods of image enhancement for liver CT images |
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| Authors: | Li Yang Hailun Fan |
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| Affiliation: | a Key Laboratory of Opto-electronic Information Science and Technology, Ministry of Education, Institute of Modern Optics, Nankai University, Tianjin 300071, PR China
b Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, PR China |
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| Abstract: | Image enhancement methods for liver 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 of the liver. The segmented liver CT image is processed by direct gray stretching, logarithmic transformation and linear stretching with histogram fitting. In addition, the method of selective histogram equalization is proposed to enhance the segmented liver CT image. It is proven from the experimental results that by this two-step method, the visual effect of the segmented image can be effectively improved and the focus is obviously highlighted. |
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| Keywords: | Liver CT image Image segmentation Image enhancement |
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