repeatability_demo

图像处理领域中用于处理LDR为HDR图像的程序，即从低动态范围的图像转成高动态范围的图像(The field of image processing procedures for handling LDR HDR images turn into a high dynamic range image from the low dynamic range image)

本程序能够综合地实现图像边缘细化，而且程序够复杂。(This procedure can be integrated to achieve the Image Edge thinning, and the procedures complex enough.)

读取与显示JPG等格式图像文件，Visual C++编程技巧精选，很好的参考资料。(Read and display JPG format image files, Visual C++ programming skills selected, a good reference.)

一种自适应chirplet分解的快速算法 针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点，文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数，得到其能量分布集中于信号的调频率曲线上的结论，此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计；然后通过解线性调频技术获得其初始频率和宽度的估计，仿真结果验证了本文算法的有效性。 (Chirplet an adaptive decomposition algorithm for rapid adaptive signal decomposition Chirplet many unknown parameters, is more difficult to achieve the characteristics of the literature [1] proposed a new fast algorithm Chirplet decomposition. The algorithm calculating the signal function of the second phase, its energy distribution to be concentrated in the signal modulation frequency curve on the conclusions, this time through the spectral peak detection can be obtained simultaneously Chirplet tune the frequency, timing and magnitude of the estimated center then through the solution line technology of FM frequency and the width of the initial estimates, the simulation results verify the effectiveness of the algorithm.)

实现“动态”的位图动画，VC++经典编程学习源码，很好的参考资料。(The realization of "dynamic" bitmap animation, VC++ classic learning programming source code, a good reference.)

活动目标检测源码,用混合高斯算法编写，适用于复杂场景视频监控(alive target detection，used in GMM algorithm)

彩色图像分割的源代码 使用matlab6.5编写 (Color image segmentation of the source code to use prepared matlab6.5)

使用C++和CUDA编写的双边滤波器。在平滑图像的同时可以保持边界(Using bilateral filter the C++ and CUDA written. Boundary can be kept in the smooth image while)

说明：  信号处理傅里叶变换，三分之一倍频程，荷载时程曲线绘制(Signal processing Fourier transform, one third octave, load time history curve drawing)

基于Contourlet变换和SVM的SAR图像目标识别 (Contourlet transform and SVM based on the SAR image target recognition)