灰度图像的盲复原问题进行了一些研究 PSF

说明：  Impulse response, system response, for signal processing

实现图像边缘的傅里叶描述子，可用于边缘检测，形状分析。(Matlab achieve image edge of the Fourier descriptors, can be used for edge detection, shape analysis.)

说明：  本代码使用MATLAB编写的基于GST模型的红外弱小目标检测代码(% This source code is for infrared small target detection method based on Generalized Structure Tensor (GST). % If you use this code in your publications, please cite:)

本程序实现位图的读写，均衡化，滤波，LBP，LTP特征提取以及基于LBP，LTP和卡方距离，最近邻分类的人脸识别，批量给图片改名等功能(The program can read and write a bitmap, equalization, filtering, LBP, LTP feature extraction and nearest neighbor classifier for face recognition based on LBP, LTP and chi-square distance, rename picture and some other functions.)

提出了一种结合USFFT Curvelet 变换的各向异性扩散图像去噪模型。它有机结合了Curvelet 变换和各向 异性扩散（P-M扩散）两者的优点。通过P-范数方法选择合适的梯度阈值K，P-M扩散过程通过处理经过Curvelet 变换得到的图像的不同尺度的Curvelet 系数矩阵，实现了建立在对图像多尺度分析的基础上的新P-M扩散模型。 实验表明，新模型的处理结果能有效避免传统P-M 扩散出现的阶梯效应，同时更好地保留图像的纹理和细节。 关键词：图像去噪算法；各向异性扩散；Curvelet 变换；P-M 扩散(Abstract: An image de-noising model by integrating anisotropic diffusion with USFFT Curvelet transform was proposed, which combined the strongpoint of Curvelet transform with anisotropic diffusion (P-M diffusion). By choosing appropriate gradient threshold K through p-norms and carrying out the P-M diffusion process depend on the different scale matrixes of Curvelet coefficient of the image from Curvelet transform iterations, as a result, the improved model made it possible to carry out the new P-M diffusion de-noising process based on multi-scale analysis of the image. The experiment results have demonstrated that the model can avert the stair-casing effect in the traditional P-M diffusion effectively and keep the textures and details of images better.)

说明：  使用互信息进行2D图像自动配准源代码,应用平均互信息(The use of mutual information for automatic registration 2D image source code, the application of the average mutual information)

针对粒子概率假设密度(PH D)滤波算法在虚警、漏检情况下，b标状态估计不稳定和b标可观测性车弱的问题，提出了一种基于序贯融合的粒子PH D滤波方法，利用雷达和红外传感器多目标进行融合跟踪杏基本思想是先对红外传感器进行粒子PH D滤波，丙将红外传感器滤波结果作为雷达的预测值，然后利用P达观测的数据进行更新，这样通过雷达和红外传感器交替上作保证目标状态的可观测性，从滤波器输出结身即可得到目标的状态信息仿真结果表明，在虚警、漏检和密集目标环境下，该方法是有效的和稳健的(The problem of target state estimation instability and observability weakerin the presence offalse alarms and missed detection was deal with. On the basis of sequential fusion, a particleprobabil- ity hypothesis density(PHD) filter for multrsensor multrtarget tracking was proposed. Observed da to collected from the infrared sensor was estimated with the particle PHD filter. Then the results from the filter were set as the radar predicted value by the radar observations. The multrtarget state can be updated to guarantee observing the target state. In this way, the global state is updated at the fusion center. Simulation results show that the proposed algorithm is effective and robust under the false warning, omission and concentrated target environment. )

人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测(Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection)

阵列信号处理方面的经典程序，包括MUSIC算法，ESPRIT 算法，Root-MUSIC算法面阵中二维角度估计 Unitary -ESPRIT算法，空间平滑MUSIC算法，传播算子DOA估计算法等等(Classical array signal processing procedures, including the MUSIC algorithm, ESPRIT algorithm, Root-MUSIC algorithm for two-dimensional planar array of point estimates Unitary-ESPRIT algorithm, spatial smoothing MUSIC algorithm, propagator DOA estimation algorithm, etc.)

基于matlab平台的fft加窗插值算法，适用于信号分析(Wft window interpolation algorithm based on matlab platform, suitable for signal analysis)