xt2

SVD程序，用于图像的奇异值分解，SVD程序，用于图像的奇异值分解(SVD procedure for singular value decomposition of the image, SVD procedure for singular value decomposition image)

meanshift track的。希望对大家有用o .(It s about meanshift program.)

说明：  使用硬/软阈值算法，求解各种不同范数约束问题，算法主要有三种(Contains three matrix completion algorithms and a demo script for running them. Also compares against other matrix completion algorithms - Singular Value Thresholding and Fixed Point Iteration.)

本程序对同一图像增加噪声后，进行均值滤波、高斯平滑滤波和中值滤波三种方法的去噪和结果比较， 并进行了评价指标PSNR和SSIM的计算以及算法耗时的统计。 ( The program on the same image after the noise increases, mean filter, de-noising and results of the Gaussian smoothing filter and median filter three methods of comparison, and the index PSNR and SSIM calculation algorithm and time-consuming statistics.)

卡尔曼滤波程序,可以运行,用VS编译,不需要解压,谢谢,(Kalman filter program, can run, compiled with VS, no need to decompress, thank you,)

相位恢复算法,利用恢复图像在时域必须是正实值以及正逆傅里叶变换进行恢复(phase retrieve)

《智能图像处理技术》——由李弼程等编写，区别于大多传统的图像处理技术书籍，该书主要讨论了图像处理的最新发展，如图像的特征分析、配准、融合、分类等技术，具有前沿性和先进性( Intelligent image processing technology - such as prepared by Bicheng, mostly from the traditional image processing technology books, the book discusses the latest developments in image processing, such as the characteristics of image analysis, registration, integration, classification and other technology, having cutting-edge and advanced)

拉普拉斯变换的源代码，适合做图像处理及其他使用，有启发作用。(Laplace transform of the source code, suitable for image processing and other use, stimulating.)

视觉仿生学在图像处理中具有非常重要的作用，视觉侧抑制原理在目标增强中具有很大的潜力(Bionics in visual image processing has a very important role in the visual principles of lateral inhibition in the target has great potential to enhance)

灰度图像的二维傅里叶变换(cv_gray_fft2)，二维傅里叶变换结果的幅值计算(cv_abs)，频谱平移(cv_gray_fft2shift)，将数值归一化到0到255区间(cv_range_0to255)是非常常用的四个功能！所以写成四个函数，方便将来调用！附运行截图~并附对应的MATLAB程序！(Dimensional Fourier transform of the grayscale image (cv_gray fft2), two-dimensional Fourier transform results to calculate the amplitude (cv_abs), spectral translation (cv_gray_fft2shift), the value normalized to range 0 to 255 (cv_range_0to255) is very common four function! so written as four function to facilitate future calls! attached run shot- along with the corresponding MATLAB program!)