中文摘要：

MRI影像具有边缘模糊、含有噪声、对比度差的特点,这些都严重干扰了影像的分割,配准的准确性.针对这类问题,提出一种既能保护边缘,又能兼顾去噪及增强的模型.通过构造自适应直方图均衡化的偏微分方程,并结合P-M平滑算法的优点,增加系数调节项,达到同步去噪增强的目的.算法吸取了两种模型的优点,实验结果证明了方法的准确性及实用性.

英文摘要：

There are some characteristics of brain MRI images with edge blur,containing noise and poor contrast.They are seriously disturbing image segmentation and registration accuracy.The paper proposes a new model which can protect the edge of image,and take care of denoising and enhancement.By combining with the adaptive histogram partial differential equations,we choose the P-M algorithm as a basis and add the adjustment items to complete the synchronization of image denoising and enhancement.The results of experiment show that algorithm has accuracy and practicality.