fig2cad

Curvelet变换进行图像去噪，Matlab7.0程序(Curvelet transform for image denoising, Matlab7.0 procedures)

在对多光谱遥感影像进行大气校正处理以后，可以利用K_T变换矩阵对其进行水体提取，该算法效果较好(After the atmospheric correction of the multispectral remote sensing image, the water body can be extracted by using the k transform matrix, and the effect of the algorithm is good.)

自动前背景分割，基于超像素、形状和外观前验概率及图切割(A novel foreground/background segmentation algorithm that attempts to segment the interesting objects from the rest of the image.The model includes a geometric prior and an appearance prior, whose parameters are learnt on the fly from images that are similar to the query image. It uses graphcut based energy minimization to enforce spatial coherence on the model’s output.)

这是一个实现各种颜色空间转换的程序，内含多种颜色之间的转换(this is a programme implementing color space transform,including many transforms of diffrent color spaces.)

使用MATLAB实现基于等距离图象拼接的嵌套程序1(The use of MATLAB-based image stitching equidistant nested procedures 1)

主动轮廓模型图像分割算法，讲XU改进的算法用MATLAB进行实现(Active Contour Model for Image Segmentation Algorithm, speaking XU improved algorithm using MATLAB for the realization of)

基于小波包图像去噪 很好用的程序 小波去噪(Good use of the procedure of wavelet denoising based on wavelet packet image denoising)

一种图像处理超分辨率重构方法，主要是利用图像稀疏表示的方法进行图像重构(Super-resolution reconstruction of an image processing method, mainly using sparse representation of image reconstruction methods for image)

基于PCNN脉冲耦合神经网络的图像增强算法，改进了PCNN基本算法，相比传统图像增强算法更有效(Image enhancement algorithm based on PCNN)

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. )