基于统计特征的医学图像插值

The Study of Medical Image Interpolation based on Statistical Character

基于数字图像离散化的特点,将模式识别中聚类分析的思想利用到边缘方向插值方法中,提出了基于统计特征的边缘方向插值方法,既保证了医学图像对高质量的要求,又降低了算法的复杂度。

The article studies the image interpolation in one still gray CT or MRI. Because a digital image is discrete, the article studies the idea of clustering analysis and gives a new improved edge-directed interpolation method on statistic feature. Experiments show the new method satisfies the command of high quality of medical image and reduces the complication compared with the old method.