摘要
研究医学图像,针对断层间距影响像素间距、图像轮廓粗糙问题,采用图像插值算法可以解决医学图像三维重建模型的轮廓粗糙、呈阶梯状的问题,但是传统插值算法的运算量大,加之医学图像序列包含的图像多、图像本身比较大,处理起来需要耗费大量的时间,未能在医学图像三维重建领域得到广泛应用。为了提高分辨率和快速性,提出了一种基于距离变换的图像插值优化算法。算法依据图像的相似性信息,极大地减少了参与计算的像素点,同时采用一种快速的距离计算方法,避免了乘法和开方运算,使得算法效率大幅提高。将优化算法应用于医学图像序列中进行仿真,结果表明,生成的插值图像边界清晰、过渡平滑,与传统算法相比所需的时间减少了60%以上。证明改进的算法可有效地解决传统算法的效率问题,为医学图像研究提供了科学依据。
Interpolation algorithm can solve the three dimensional reconstruction problem of medical image that makes the reconstructed edges rough and ladder like,but traditional algorithm costs large amount of computation,especially for medical sequence images whose image is very large.Therefore,it has not been widely adopted in the medical image three dimension reconstruction fields.To solve the problem,an improved interpolation method based on distance transform is presented in this paper.According to the similarity information of images,the algorithm greatly reduces the number of pixels needed to be calculated.Meanwhile,using a fast distance calculation method to avoid multiplication and evolution calculation,the algorithm efficiency is obviously improved.The improved algorithm makes the edge of the interpolation images clear and transit smoothly in medical sequence images,and reduces by 60% time costing compared with traditional algorithm.Results show that the improved algorithm effectively solves the efficiency problem of the traditional algorithm and has a wide application.
出处
《计算机仿真》
CSCD
北大核心
2011年第2期325-328,332,共5页
Computer Simulation
关键词
距离变换
图像插值
欧几里得距离
Distance transform
Image interpolation
Euclidean distance