基于数学形态学的医学图像插值技术

Medical image interpolation based on mathematical-morphology

医学图像插值技术是图形处理中的关键技术。为了能同时满足图像灰度和形状的要求,提出了一种基于数学形态学的医学图像插值算法。对CT图像采用多阈值和数学形态学的方法进行了分割,得到了各组织的轮廓,然后根据体素的相关性进行了插值。实验结果表明,此算法解决了以往算法边界模糊的缺点,插值效果好。

The technology of medical image interpolation is one of essential technology in the image processing, In order to satisfy the requests of the image gray and image shape, a kind of medical image interpolation based on mathematical morphology was proposed. The multi-threshold values and mathematical morphology method were used to divide the CT image, and the outline of each organization was obtained, then interpolation was done based on volume relativity, The experimental results indicate that, the algorithm solves the question of the fuzzy boundary, and the interpolation effect is good.