graphcuts

说明：  UNet最早发表在2015的MICCAI上，短短3年，引用量目前已经达到了4070，足以见得其影响力。而后成为大多做医疗影像语义分割任务的baseline，也启发了大量研究者去思考U型语义分割网络。而如今在自然影像理解方面，也有越来越多的语义分割和目标检测SOTA模型开始关注和使用U型结构，比如语义分割Discriminative Feature Network(DFN)(CVPR2018)，目标检测Feature Pyramid Networks for Object Detection(FPN)(CVPR 2017)等。(Its influence has reached 70% in 2015. Then it became the baseline that most of the medical image semantic segmentation tasks, and inspired a large number of researchers to think about the U-shaped semantic segmentation network. In the aspect of natural image understanding, more and more SOTA models of semantic segmentation and object detection begin to pay attention to and use U-shaped structure, such as semantic segmentation, discriminative feature network (DFN) (cvpr2018), feature pyramid networks for object detection (FPN) (CVPR 2017), etc.)

说明：  三次样条插值函数，分别是基于二阶导数的和一阶导数实现的(Cubic spline interpolation function)

实现中值滤波的源程序 参数Hori是一个布尔变量，若为真，做水平中值滤波，否则，做竖直中值滤波。(achieve Median filtering of the source parameters Hori is a Boolean variable, if true, so the level of median filtering, otherwise, do vertical median filtering.)

英文文本的相似度计算，分别从词形、词序、词义等方面进行权重计算，得到相似度结果(English text similarity calculation were re-calculated from the word form, word order, meaning, etc. right, the similarity results)

基于支持向量机方法的图像分割与目标分类.介绍了支持向量机用于车辆图像分类。以及用于单目标图像的分割和多目标图像的分割，介绍的较为详细。(Method of image segmentation based on support vector machine (SVM) and the target classification. This paper introduces the support vector machine (SVM) is used to vehicle image classification. And for single target image segmentation and target image segmentation, introduced detailed.)

图像保重要特征扩散滤波方法之-----非线性扩散(important feature images Bao proliferation filtering method----- Nonlinear Diffusion)

绘制二维nurbs曲线，可以通过改变控制点或者权重从而改变图形的形状。(Draw a two-dimensional nurbs curve that changes the shape of a shape by changing the control point or weight.)

说明：  一个立体视觉匹配程序，采用matlab编写(A stereo vision matching program, prepared using matlab)

主要功能是实现相机标定，以及实现反投误差，实现特征点的提前。(The main function is to achieve camera calibration and error to achieve the anti-investment, to achieve the feature points in advance.)

在MATLAB平台下，可以实现散斑的生成。(The generation of speckle is realized under the MATLAB platform.)