Compute_MSE_PSNR

说明：  使用mean shift方式增强图像对比度的一个小演示（开发平台：matlab7.0）(Using mean shift mode contrast-enhanced images of a small demo (Development Platform: matlab7.0))

说明：  基于粒子滤波的强大的跟踪算法,可以在背景变化情况子实现可靠的实时跟踪，并且配有相应的论文(particle filter)

图像库中有240幅完整的和残缺的飞机和舰船遥感图像。可用hu矩对其特征提取，用于分类。(Image library has 240 complete and incomplete aircraft and ships remote sensing images. Available hu moments of its feature extraction for classification.)

实现航迹融合的算法，多雷达探测实现目标数据的融合并完成对目标的模拟仿真，这里主要是对一个目标的跟踪，需要在vc++6.0上实行(Track fusion algorithms, multi-radar detection to achieve the target data fusion and complete simulation of the target, mainly tracking a target, you need to implement in vc++6.0)

二维分数阶傅立叶变换程序，可用于图像，信号的处理，博士师兄编写，亲测可用(2-D Fractional Fourier transform)

基于小波变换模极大的多尺度图像边缘检测,比较简单，但实用，是本人模式识别程序的一部分(Based on wavelet transform modulus maxima of the multi-scale image edge detection, relatively simple, but useful, is himself a part of pattern recognition procedures)

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.)

在MATLAB环境下实现二维emd分解的实现,效果还不错(Emd decomposition MATLAB environment to achieve a two-dimensional realization of the results were pretty good)

用SLM法降低PAPR的CCDF,调用SLM函数来实现，毕业设计很有用的源代码(SLM method used to reduce PAPR of the CCDF, call the SLM function to achieve graduation design of the source code is useful)

易语言动画地图编辑器源码，易语言写的图形图像编程，很好的参考。(Easy language animated map editor source code, easy graphic language programming, a good reference.)