：LBF 模型是一个著名的基于区域的活动轮廓模型。与PC（Piecewise Constant）模型不同，该模型引入了一个以高斯函数为

核函数的局部二值拟合（Local Binary Fitting，LBF）能量。因为LBF 能量能够获取图像的局部信息，所以LBF 模型解决了PC 模型

不能处理灰度不均一图像的分割问题。提出了一个改进的LBF 模型，它使用一个新的核函数代替高斯核函数-: LBF model is a well-known region-based active contour models. PC (Piecewise Constant) model, the model introduces a Gaussian function as kernel function, local binary fitting (Local Binary Fitting, LBF) energy. Because the LBF energy can obtain the image of the local information, so LBF model solves the problems of the PC model can not handle gray uneven image segmentation. Proposed a the LBF model of an improvement, it uses a new kernel function instead of the Gaussian kernel