中文摘要：

针对PDE（partial differential equation）图像分割模型-RSF（region-scalable fitting energy）模型对初始轮廓线选择敏感问题,提出根据图像的灰度变化信息动态选择高斯核函数窗口大小的改进RSF模型.实验表明,该模型提高了RSF模型对初始轮廓线的鲁棒性.

英文摘要：

RSF（ region- scalable fitting energy） model is a famous PDE（ partial differential equation） image segmentation model,which is sensitive to initialization. To address this problem,a modified RSF model whose the window size of Gaussian kernel function to each pixel in images be selected dynamically is proposed. The window sizes of Gaussian kernel functions of the model depend on the intensity of images. The experimental results show that the proposed model allows for more robustness to initialization compared to the original RSF model.