cell-segmentation

拉普拉斯变换是工程数学中常用的一种积分变换，又名拉氏转换。拉氏变换是一个线性变换，可将一个有引数实数t（t≥ 0）的函数转换为一个引数为复数s的函数。(Laplace transform is a commonly used engineering mathematics integral transformation, also known as Laplace Transform. Laplace transform is a linear transform, argument can be a real number t (t ≥ 0) is converted to a function of a complex number s argument of the function.)

说明：  CA-CFAR的仿真程序，对初学者十分友好。(The simulation program of CA-CFAR is very friendly to beginners.)

一种基于匈牙利算法和相关向量机的点模式匹配算法，可以有效解决点集的刚性和非刚性变换的参数求解问题。(A point set registration method based on Hungarian Algorithm and RVM which can well solve the parameters of rigid and non-rigid transform.)

OpenCV_基于混合高斯模型GMM的运动目标检测。内附监测监控视频，方便测试使用。(OpenCV_ GMM Gaussian mixture model based moving target detection. Included monitoring surveillance video, easy testing.)

图像边缘检测算法，采用小波图像边缘检测的算法实现边缘检测(Image edge detection algorithm, using wavelet edge detection)

一种基于关键点的复制粘贴检测算法，可以完成两幅图像的关键点匹配，也可以检测到一副图像是否经过复制粘贴后放大缩小、旋转等篡改操作(Key matching a replicon paste detection algorithm based on key points, you can complete two images, it can also detect whether an image after copying and pasting zoom, rotate, etc. tampering operation)

实现简单的mapx开发，放大缩小地图等功能

在matlab下的k-均值聚类进行图像分类分割处理(In matlab under the k-means clustering for image classification be dealt with separately)

matlab实现图像处理的程序，这是一个关于脑扫描图像分割的程序，很完整(matlab image processing procedures to achieve, this is a brain scan on the image segmentation process, it is a complete)

SVM分类用于高光谱遥感图像分类、预测....................(SVM classification for classification and prediction of hyperspectral remote sensing images)