imageprocessing

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.)

说明：  贝叶斯压缩感知例子 Bayesian Compressive Sensing, Shihao Ji, Ya Xue, and Lawrence Carin, IEEE Trans. Signal Processing, vol. 56, no. 6, June 2008.(Bayesian Compressive Sensing, Shihao Ji, Ya Xue, and Lawrence Carin, IEEE Trans. Signal Processing, vol. 56, no. 6, June 2008.)

Matlab源代码 Incremental Learning for Robust Visual Tracking, International Journal of Computer Vision (IJCV), vol.77, no.1-3, pp.125-141, 2008.(Matlab source code for Incremental Learning for Robust Visual Tracking, International Journal of Computer Vision (IJCV), vol.77, no.1-3, pp.125-141, 2008.)

该文件涵盖了65个使用IDL进行图像处理的源码例子，对IDL语言以及ENVI软件的理解非常有帮助。(The document covers 65 for image processing using IDL source code examples, on IDL and ENVI software' s understanding of language is very helpful.)

fpga实现图象滤波，实时的实现现对输入图象的形态学滤波可直接使用。 (fpga image filtering, real-time implementations currently morphological filtering of the input image can be used directly.)

离散小波变换(母小波采用db24)和FFT变换的混合算法，对谐波分量进行分析，求出各平稳谐波分量幅值及时变信号的发生时间(Hybrid algorithm of discrete wavelet transform and FFT transform analysis of the harmonic components, the calculated steady harmonic component amplitude and time-varying signal occurred)

ct 平行束滤波反投影重建算法matlab 分为创建原始图像 投影 滤波重建三个文件(matlab fbp reconstruction algorithm which can be used for CT image reconstruction)

基于整数小波变换的图像可逆水印，很好用，可逆性很强，自己查找的资料(Image reversible watermarking based on integer wavelet transform is very useful. It has strong reversibility and finds information by itself.)

根据指定字符分割字符串，VC++精选编程源码，很好的参考。(According to the specified character segmentation character string, VC++ select programming source code, a good reference.)

是一个很好的图像拼接程序，先用sift算法提取两幅图片的特征点再用算法筛去错配点，把匹配点用线连接起来，注意：主函数是match.m，运行主函数后在命令框输入运行match( image1.jpg , image2.jpg )(Is a good image stitching program, the first two pictures with the sift algorithm feature extraction algorithm and then weed out the wrong point with point, the match point with a line linking Note: The main function is match.m, after running the main function Enter the run command box match (' image1.jpg' , ' image2.jpg' ))