yuhuiweixiang

均值、中值、维纳、TV、小波五种图像去噪方法（matlab）.均经过运行调试。包括对五种方法的研究报告（word）。 (Mean, median, Wiener, TV, xiaobo five kinds of Wavelet Image Denoising (Matlab). Have been run debug. including The study of five ways (word).)

说明：  使用matlab实现脑磁共振图像的海马体分割(Using MATLAB to segment the hippocampus of brain MR images)

最优波束形成技术研究及硬件实现，适用于雷达和声呐方面(Optimal Beamforming technology research and hardware for radar and sonar terms)

说明：  噪声估计法，先定位噪声点，再实行去噪处理(Noise estimation method, first locate the noise points, then implement denoising.)

说明：  matlab开发的粒子滤波目标跟踪程序，跟踪目标良好。(Matlab development of particle filtering procedures。)

经典的ROF模型，可以用于图像去噪，图像分解；TV图像修复(The ROF model can be used for image denoising)

图像二值化，采用Niblack算法，采用Matlab编写，可以做个参考。(It accomplishes the binary work to an imge, using Niblack algorithm.)

混合高斯(Mixture of Gaussian, MOG) 背景建模算法和Codebook 背景建模算法被广泛应用于监控视频的运动目标检测问题, 但混合高斯的球体模型通常假设RGB 三个分量是独立的, Codebook 的圆柱体模型假设背景像素值在圆柱体内均匀分布且背景亮度值变化方向指向坐标原点, 这些假设使得模型对背景的描述能力下降. 本文提出了一种椭球体背景模型, 该模型克服了混合高斯球体模型和Codebook 圆柱体模型假设的局限性, 同时利用主成分分析(Principal components analysis, PCA) 方法来刻画椭球体背景模型, 提出了一种基于主成分分析的Codebook 背景建模算法. 实验表明, 本文算法不仅能够更准确地描述背景像素值在RGB 空间中的分布特征, 而且具有良好的鲁棒性.(The background modeling algorithm of mixture of Gaussian (MOG) and codebook is widely used in moving object detection of surveillance video. However, the ball model of MOG usually assumes that the three components of RGB are independent, while the cylinder model of codebook assumes that the value of background pixel is distributed uniformly within the cylinder and the changing direction of brightness points to the origin of the coordinate system. These assumptions reduce the descriptive capability for background modeling. Therefore, the paper proposes an ellipsoid- based background model, which overcomes the MOG and codebook0s limitations. By using principal component analysis to depict the ellipsoid background model, a novel PCA-based codebook background modeling algorithm is proposed. Experiments show that this algorithm can not only give more accurate description of the distribution of background pixels but also have a better robustness.)

matlab code for the v shape recognition in heart shape

hausdorff距离，用于图像处理中比较两幅图像的差异的方法。其鲁棒性较好。(hausdorff distance, for the image processing of the images compared two different methods. Its robustness better.)