SARDopplerEstimation

说明：  可通过Hog和svm实现小狮子的分类，将其分为两类(The classification of small lions can be realized by hogs and SVM, which can be divided into two categories)

为了提高数字图像中椭圆检测的效率和准确性,提出了一个基于最小二乘法的改进的随机椭圆检测算法. 该算法随机选取图像中的3 个边缘点,在以这3 个点为中心的窗口内,从边缘点中拟合出可能椭圆,并通过随机选 取的第4 个边缘点来确认可能椭圆. 利用直接最小二乘法椭圆拟合的特性,引入可能椭圆边缘点收集和椭圆重新 拟合的迭代过程来提取最终的椭圆参数. 通过对含有不同噪声的仿真图片和包括残缺椭圆的实际图片的实验表 明,新算法的改进是有效的. 与原算法相比,新算法降低了对参数的依赖性,提高了检测的速度、稳定性和准确性, 同时保留了原算法的抗噪声能力.(: An imp roved randomized ellip se detection algorit hm based on least square approach was proposed to enhance t he efficiency and accuracy of ellip se detection in digital images. This algorit hm randomly se2 lect s three edge point s in t he image , and t hen uses least square approach to fit all t he edge point s in three windows , which are defined by t he t hree edge point s. The forth edge point is randomly selected to judge whet her a possible ellip se exist s in t he image. Utilizing the characteristic of direct least square fit ting of ellip se , an iteration process of edge point collecting and ellip se refit ting of possible ellip se was int roduced to ext ract t he final ellip se’s parameters. Artificial images wit h different level s of noise and nature images containing incomplete ellip ses were employed to test t his algorithm. Experimental result s show that t he improvement s are notable. Compared with the original algorit hm , t he propo sed algorit hm reduces)

bitmap rotate for visual c and c++ builder

卷积神经网络深度学习，可以识别多种图像，并自动解出所需要的结果(Deep learning of convolutional neural networks)

猫群算法在图像分类中的应用。猫群算法是一种比较新的算法，目前研究和使用的并不多。(The cats swarm optimization in image classification. Cat swarm optimization is a relatively new algorithm, not much research and use.)

椭圆、圆、矩形等的识别，在MATLAB下运行.(Ellipse, round, rectangle recognition.)

基于分片重排列技术的维数约简方法，用于特征提取。(Patch Alignment for Dimensionality Reduction，IEEETrans.，2009.)

说明：  recon基于双视图的人脸特征三维重建，一个视图为正投影，另一个是水平方向旋转，假定正交投影模型，getfeature用于从图像上标记特征点(facial feature reconstruction based on two views)

说明：  Matlab边缘检测和区域生长图像分割算法代码，适合于图像边缘检测。(Matlab edge detection and region growing image segmentation algorithm code, suitable for edge detection.)

联合贝叶斯人脸验证python代码，机器学习(Joint Bayes face verification)