-
rainbow
说明： 本人自己编写的用matlab实现彩虹程序，(I have written with matlab Rainbow realize procedures,)
- 2021-04-13 20:58:56下载
- 积分：1
-
ObjectiveFidelityCriteria
本实验要求编写一个计算压缩-解压缩图像的均方根误差、均方信噪比的程序。该程序是一个通用程序。编写程序产生图示的结果。使用上面的保真度准则程序计算可视信息的损失特性。(Prepared in this experiment, a calculation of compression- decompression of the root-mean-square error of image, mean square signal to noise ratio of the procedure. The procedure is a common procedure. Picture shows the preparation of the results of procedures. The use of the above criteria for the fidelity of calculated loss characteristics of visual information.)
- 2009-06-02 10:46:43下载
- 积分：1
-
histogram
这是一个matlab写的输出图像直方图的程序！能让你充分理直方图的原理！(this is a matlab produce of image histogram! you can undertand the the histogram algorithm easy! )
- 2011-07-04 11:40:33下载
- 积分：1
-
xiaobobao
基于小波包变换的去噪处理
全局阈值去噪图像
对图像进行平滑处理以增强去噪效果（中值滤波）(Denoising based on wavelet packet transform global threshold denoising image smoothing image enhancement and denoising effect (median filtering))
- 2012-06-21 10:30:41下载
- 积分：1
-
ppkd
基于有限高斯混合模型的EM算法的源程序代码，里面有实验报告和运行结果。
(based on finite Gaussian mixture model of the EM algorithm source code, which has run reports and experimental results.)
- 2006-11-02 09:00:17下载
- 积分：1
-
zhengjiaobianhuan
多媒体图形图像正交变换语言是VC++,源码正交变换(Multimedia graphic image orthogonal transform language is VC++ source orthogonal transformation)
- 2012-06-21 17:09:34下载
- 积分：1
-
automsft
该程序初始时使用背景差分法自动检测目标，当目标完全进入图像中后，改用meanshift方法对目标进行跟踪。(the program use background subtraction to detect the target first,when the target fully enter the screen,change to meanshift method to track the target.)
- 2010-08-04 15:03:44下载
- 积分：1
-
APGL
用于求解凸优化问题，恢复低秩密度矩阵问题(this matlab Algorithm can be used for the convey optimal problen, and also for the low-rank density matrix reconstruction)
- 2017-10-27 21:20:21下载
- 积分：1
-
imrotatex
自己用matlab语言编写的基于双线性插值的图像旋转程序(I have written based on the bilinear interpolation of the image rotation process)
- 2009-03-26 10:11:53下载
- 积分：1
-
gmm
混合高斯模型使用K（基本为3到5个） 个高斯模型来表征图像中各个像素点的特征,在新一帧图像获得后更新混合高斯模型,用当前图像中的每个像素点与混合高斯模型匹配,如果成功则判定该点为背景点, 否则为前景点。通观整个高斯模型，他主要是有方差和均值两个参数决定，,对均值和方差的学习,采取不同的学习机制,将直接影响到模型的稳定性、精确性和收敛性。由于我们是对运动目标的背景提取建模，因此需要对高斯模型中方差和均值两个参数实时更新。为提高模型的学习能力,改进方法对均值和方差的更新采用不同的学习率 为提高在繁忙的场景下,大而慢的运动目标的检测效果,引入权值均值的概念,建立背景图像并实时更新,然后结合权值、权值均值和背景图像对像素点进行前景和背景的分类。(Gaussian mixture model using K (essentially 3-5) Gaussian model to characterize the features of each pixel in the image, in the image of the new frame for updated Gaussian mixture model, with each pixel in the image with a Gaussian mixture current model matching, if successful, determined that the point of the background points, otherwise the former attraction. Throughout the entire Gaussian model, he mainly has two parameters determine the variance and the mean, the mean and variance of the study, to take a different learning mechanism, will directly affect the stability, accuracy and convergence model. Since we are moving object extraction of the background modeling, so the need for the Gaussian model variance and mean two parameters real-time updates. In order to improve the learning ability of the model, an improved method for updating the mean and variance of different learning rates to improve in the busy scene, large and slow moving object detection results, the introduction of)
- 2014-03-25 09:01:12下载
- 积分：1
