quantum

混合高斯模型提取视频帧前景背景图像，经试验验证准确率比较高(Mixed gaussian model to extract video frame prospects background image)

利用DOA和TOA对运动辐射源的单舰无源定位(Using a single passive location DOA and TOA ship moving emitter)

自己写的分割脑组织的程序，用FCM方法分割，可以直接运行(Write their own brain tissue segmentation procedure, using FCM segmentation method can be run directly)

说明：  matlab编写高斯光束高斯光束模拟的焦点附近光场分布(Matlab programming of Gaussian beam the distribution of light field near the focus of Gaussian beam simulation)

lda线性特征提取，用于人脸识别，首先进行小波特征提取后用lda提取特征。(lda linear feature extraction for face recognition, first of all, after feature extraction using wavelet feature extraction using lda.)

svd图像压缩，程序中使用了三种方法的SVD，包括直接svd，分块svd和小波svd(3 svd comprecessions.)

三维重建过程中常见的算法源码，效果良好，适合基础学习(3d reconstruction reconstruction)

说明：  图像处理软件含帮助。毕业设计，旋转，线性变换，灰化，平滑，滤镜，反相等，功能全面！(image processing software with help. Graduation design, rotary, linear transformation, ash, smooth, filter, anti-equal, full functions!)

斯坦福大学的姚邦鹏开发的一个图像分类算法，使用random forest实现了图像的精细区域描述，赢得了PASCAL VOC2011图像分类竞赛中的winner prize.经测试，程序完全可运行，且提供了MAC和Windows下的两种程序。(Image Classification: An Integration of Randomization and Discrimination in A Dense Feature Representation The goal of our method is to identify the discriminative fine-grained image region that distinguishes different classes. To achieve this goal we sample image regions from dense sampling space and use a random forest algorithm with discriminative classifier. Each node of the tree of random forest is trained and tested with fine-grained image patches combining the information from upstream nodes together. We implemented each node of the tree with a discriminative SVM classifier, which makes the node as a strong classifier. )

IEEE:数字水印技术引论，其中将达哦水印技术的引出、算法发展、引用等(IEEE: primer on digital watermarking technology, which will lead to Oh watermark technology, algorithm development, quoted, etc.)