Gauss-and-Mean-Curvature

1.运用Laplacian算子，基于二阶微分的图像增强，即拉氏变换法进行图像平滑 2.利用邻域平均法实现图像的平滑处理 3.利用Robert算子做锐化处理(1. The use of Laplacian operator, based on second-order differential of the image enhancement, that is, Laplace transform method for image smoothing 2. The use of neighborhood average method of smoothing image 3. The use of Robert sharpening operator to do)

Matlab的GUI中选择图像的感兴趣区域ROI(正方形和矩形)(Matlab GUI to select the image region of interest ROI (square and rectangular))

利用非参数贝叶斯字典学习模型进行图像稀疏表示(use non-parametric-bayesian-dictionary-learning-for-sparse-image-representations)

InSAR相位解缠用，好多种方法，参考或者改进其中的算法用(InSAR phase unwrapping, and a good variety of methods, reference, or to improve the algorithm by which)

三维最大Renyi熵的灰度图像阈值分割算法(Maximum Renyi entropy of three-dimensional gray-scale image segmentation algorithm)

fingerprint normalise

这是一个基于主动生长的边缘连接算法，自己编写(an edge linking algorithm based on autonomous edge growing for discontinuity edge of edge image caused by missed detection)

基于VC环境下的直线裁剪算法Cohen-Sutherland算法和Liang-Barsky算法的实现(Based on the realization of linear cutting algorithm VC environment under the Cohen-Sutherland algorithm and Liang-Barsky algorithm)

说明：  SIFT特征点的提取和匹配，SIFT算法首先在尺度空间上进行关键点检测，确定关键点的位置和关键点所处的尺度，然后使用关键点邻域梯度的主方向作为该点的方向特征，最后由关键点邻域梯度信息生成关键点的特征向量(SIFT algorithm firstly detects the key points in the scale space, determines the location of the key points and the scale of the key points, then uses the main direction of the key point neighborhood gradient as the direction feature of the point, and finally generates the feature vector of the key points from the key point neighborhood gradient information)

检测道路边缘，利用道路的平行线特性，来检测道路所在直线。(Detect edges of the road, the road parallel to the line features to detect the road where the straight line.)