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为重建高质量的矢 /冠状图像 ,以满足医生在临床诊断与治疗时更加准确地掌握患者组织器官及病灶形态的分布情况 ,采用随机迭代函数系统 (IFS)算法对序列 CT/MRI断层图像进行分形插值计算 ,提出了基于插值曲线型值采样点序列波形局部网格分形维 ,实现对仿射中的垂直尺度因子的估计方法。实验结果表明 ,采用该算法进行插值计算 ,可较好地保留图像的纹理特征 ,获得高分辨率图像。算法占用内存少、计算速度快、精度高 ,可推广应用于一般的灰度图像插值计算。
In order to reconstruct high-quality vector image of sagittal and coronal, in order to meet the doctor’s diagnosis and treatment of clinical diagnosis and treatment of patients with more accurate distribution of tissue morphology and lesions, the use of random iterative function system (IFS) algorithm for sequence CT / MRI tomographic images According to the fractal interpolation calculation, a method of estimating the vertical scale factor in affine is proposed based on the fractal dimension of the local mesh of the sample points of interpolation curve type. The experimental results show that interpolation algorithm can save the texture features of the image well and obtain high resolution image. The algorithm occupies less memory, computing speed and high precision, which can be widely applied to the general grayscale image interpolation calculation.