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基于NSCT的几种图像融合算法，并对算法的性能作了比较，该代码有详细的说明。(Several image fusion algorithm based on NSCT, and compares the performance of the algorithm, the code is described in detail.)

c#取取图像，并处理和显示结果。HALCON,.(c# Take proper image, and the processing and display of results. HALCON ,.)

傅里叶振幅相位恢复工具箱，包括经典的ER、HIO算法(toolbox of Fourier magnitude phase retrieval in matlab, including ER, HIO algorithms)

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. )

多光谱图像出理，离散傅立叶变换，低通滤波，TM条带影像去除(multispectral image integration of remote sensing)

阐述压缩感知的基本原理，并通过压缩感知对图像进行复原处理(elucidate the compressed sensing theory )

说明：  图像检测，目标检测简单来说就是找出图像中的目标并给定目标的位置，一般用矩形框定位出目标(In image detection, target detection is simply to find out the target in the image and give the location of the target. In general, the rectangular box is used to locate the target)

小波融合pca，采用特征级的融合，用于人脸识别。(Wavelet fusion pca, using Feature-level fusion for face recognition.)

对加载的图像进行灰度处理，简单处理matlab程序，效果不错，利于后面对图形进一步加工处理(Gray-scale processing of loaded images)

一个国外人编写的数学形态学的工具箱，几乎包括了所有的常用的算法，如形态学开，闭，重构，等等算法(Prepared by a foreign person toolbox of mathematical morphology, almost including all the commonly used algorithms, such as morphological open and close, remodeling, and so on algorithm)