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用PHD滤波的方法实现多目标跟踪，及对PHD滤波性能的检测。(PHD filter method using multi-target tracking, and performance testing for the PHD filter.)

这是三维点云数据边缘线提取的c++算法，适合于LIDAR数据的三维处理，供大家参考学习(This is 3 d point cloud data edge extraction of c++ algorithm, suitable for LIDAR data 3 d processing, provide everyone reference to study)

传统的几种图像增强与去噪方法，包括直方图处理，灰度变换，滤波去噪等几类。细分为直方图均衡化，直方图规定化，灰度线性变换，中值滤波，维纳滤波，同态滤波(The traditional methods of image enhancement and denoising include histogram processing, grayscale transformation, filtering and denoising. Subdivided into histogram equalization, histogram specification, gray level linear transformation, median filtering, Wiener filtering, homomorphic filtering)

实现图像的相位相关匹配，该算法有一定的优点于其他算法相比。(images related to the phase matching, the algorithm has certain advantages compared to other algorithms.)

改进的水平集方法，采用C_V模型进化。为多相位(improve the level set method, C_V evolutionary model. For the multi-phase)

说明：   vc代码,用于图像直方图均衡（以原始girl图像为测试图像） (vc code, for image histogram equalization (in the original girl image for the test images))

这是一个用matlab实现的基于支持向量机的人脸识别系统，已经本人调试通过，非常有用。(This is a matlab implementation with support vector machine-based face recognition system has been through my debugging, very useful.)

视频水印matlab源码，此为第二个压缩包，在水印领域的爱好者可以下载作为参考(Video Watermarking Matlab source, which is the second-compressed, Watermark in the field of lovers can download as a reference)

基于遗传模拟退火和Otsu法的图像分割。采用一种基于模拟退火算法(SA)的混合遗传算法(GASA),来进行Otsu方法选择阈值，其中进行求解时是非线性的遗传算法（GA）的应用优化了求阈值过程，并尽可能地减少其运算量,而加入SA则避免了遗传算法(GA)常见的早熟收敛现象,从而实现有效简单的图像分割。 (adopt hybrid genetic algorithm(GASA) based on simulated annealing algorithm,choose threshold by Ostu method,which applicated the non-linear genetic algorithm(GA) allows us to optimize the process of threshold. And, where possible, to reduce the computation. in order to achieve effectivly and simply image segmentation. Combination SA is to avoid the common phenomenon about premature convergence in genetic algorithm (GA) to achieve a simple and effective image segmentation.)

SUN：利用自然统计的显著性贝叶斯检测框架。一种自底向上的检测图像的显著性区域方法。(SUN: A Bayesian Framework for Saliency Using Natural Statistics)