vc digital image processing procedures, including Fourier transform and testing...

是图形学中经典的活动边表的算法，老师评价破高的-Graphics is the classic side table algorithm, the teacher evaluation breaking high

利用高斯模型实现背景建模的程序。简单实用，自己写的，利用了opencv的处理函数，需要调节阈值-using the Gaussian model, background modeling procedures. Simple and practical, wrote, opencv use of the processing function, needs to adjust the threshold

一个图像旋转的完整例程，对于刚刚开始接触图像处理算法研究的学习者非常有帮助。-The integrity of an image rotation routine, just the beginning for the image processing algorithm for contact learners very helpful.

非常全面的生物信号分析工具包，能够详细分析信号时域频域、相位等特性，针对于生物信号有良好效果。-an excellent signal processing toolbox, it could give a detailed analysis on time series, frequency and phase. it is really useful on biomedical signal processing.

说明：程序运行过程中要用到wedgelet工具包和wavelet802工具包； wdt-cwtdenoise ：wedgelet去噪算法主函数； 以下函数和其它函数均为被调用函数； DT_CWTdenoise ：复小波去噪函数； 其中：afb，afb2D，afb3D，AntonB，cplxdual2D，cshift2D，dualtree2D，dwt2D，idualtree2D pm，pm4，sfb2D，symextend，unnormcoef，reversecoefDHtgrselect，tee，dtcwtcoef， gencoef等等为复小波去噪时调用函数；-Description: program to run the process to use to wedgelet tool kits and wavelet802 kit wdt-cwtdenoise: wedgelet denoising algorithm main function the following functions and other functions are called function DT_CWTdenoise: Complex Wavelet denoising function which: afb , afb2D, afb3D, AntonB, cplxdual2D, cshift2D, dualtree2D, dwt2D, idualtree2D pm, pm4, sfb2D, symextend, unnormcoef, reversecoefDHtgrselect, tee, dtcwtcoef, gencoef for complex wavelet denoising, etc. when calling function

Active Contour without Edges Matlab Code 李春明版 一种新的水平集方法由Chunming Li教授开发-Active Contour without Edges Matlab Code

该数字图像处理软件包利用Delphi7.0完成，参照《基于Delphi的数字图像处理工程软件设计》这本书，可以实现基本的图像处理功能：如二值化、中值滤波、边缘检测、图像腐蚀等-The use of digital image processing software package Delphi7.0 completed, the light of

边界提取后出现断线，用此程序将边缘连接-Disconnected after the edge extraction, using this procedure will be the edge connecting

Algorithms for images processing-Algorithms for processing images

figure 4.2a single pluse 3-D uncertainty plot pulsewidth is 2 seconds。 Figure 4.2b. Contour plot corresponding to Fig. 4.2a. Figure 4.2c. Single pulse 3-D ambiguity plot. Pulsewidth is 2 seconds. Figure 4.2d. Contour plot corresponding to Fig. 4.2c. -figure 4.2a single pluse 3-D uncertainty plot pulsewidth is 2 seconds. Figure 4.2b. Contour plot corresponding to Fig. 4.2a. Figure 4.2c. Single pulse 3-D ambiguity plot. Pulsewidth is 2 seconds. Figure 4.2d. Contour plot corresponding to Fig. 4.2c.