搜索资源列表
VC图像处理基本算法示例
- 一些数字图像处理基本算法的源码，包括：256色转灰度图，Hough变换，Walsh变换，中值滤波，二值化变换，亮度增减，傅立叶变换，反色，取对数，取指数，图像平移，图像旋转，图像细化，图像缩放，图像镜像，均值滤波，对比度拉伸，拉普拉斯锐化（边缘检测），方块编码，梯度锐化，灰度均衡，用Canny算子提取边缘，直方图均衡，离散余弦变换，维纳滤波处理，逆滤波处理，阈值变换，高斯平滑。
利用Delphi6实现拉普拉斯高斯边缘检测算法
- 利用Delphi6实现拉普拉斯高斯边缘检测算法,Delphi6 the realization of the use of Laplacian of Gaussian edge detection algorithm
gmm_test.rar
- 使用EM算法模拟高斯混合模型（GMM）的构成,Analog EM algorithm using Gaussian mixture model (GMM) the composition of
Matlab.Gaussian.mixture.model.
- 基于Matlab的高斯混合模型的算法实现，该程序可以实现对图像处理的功能,Matlab based on the Gaussian mixture model algorithm, the program can achieve the functions of image processing
Track.rar
- 一个基于Visual C++的跟踪算法(混合高斯）,Track demo (GMM)
GaussPyramid.rar
- 基于matlab的高斯金字塔算法，和一般的算法不同，此算法非常详细，逐步编写,Gaussian pyramid matlab-based algorithm, and the different algorithms, this algorithm is very detailed, step by step to prepare
用高斯模型来进行相似度计算
- 这是一个用高斯模型来进行相似度计算 然后，采用模板匹配的算法实现人脸的检测和定位的。,This is a Gaussian model used for similarity computation and then, using a template matching algorithm of face detection and positioning.
anisodiff
- 本程序实现灰度图像各向异性扩散(滤波算法，可以用于平滑信号，保留边缘，增强边缘对比度。与普通高斯算法相比，它不会平滑边缘的图像-This procedure to achieve gray-scale image anisotropic diffusion (filtering algorithm can be used to smooth the signal, retaining edge, to enhance the edge contrast. With ordinary Gauss
GMM
- 实现混合高斯模型的聚类算法 利用最大似然估计和最大期望的方法来实现混合高斯模型-Gaussian mixture model to achieve clustering algorithm using the maximum likelihood estimation and the greatest way to achieve the desired mixed-Gaussian model
pdetector
- 在matlab上实现一种经高斯平滑的边缘检测算法-In matlab by Gaussian to achieve a smooth edge detection algorithm
project1
- 可添加随机噪声、高斯噪声、椒盐噪声，并比较几种去噪算法的峰值信噪比-Can add random noise, Gaussian noise, salt and pepper noise, and compare several denoising algorithm PSNR
GMM
- 高斯模型的实现，vc 6.0环境下实现的源代码，对于初学者有很好的借鉴作用-The realization of Gaussian model, vc 6.0 environment to achieve the source code, for the beginners have a good reference
xiaobobianhua
- 利用小波变换检测突变点实验的实例，程序最后生成3个图像演示了该算法，分别为原数字信号、高斯函数作为基函数、高斯函数的一阶导数作为基函数的小波变换。-Mutation detection using wavelet transform examples of experimental points, the program generates the final three images to demonstrate the algorithm, namely, the original digi
xml_toolbox-3.2.1-matlab-7.0-R14
- 高斯混合模型的matlab的实现，但是不包含em算法在里面，但是有版权，注意阅读内容-Gaussian mixture model of the matlab implementation, but does not include the em algorithm inside, but has the copyright and pay attention to read the content
EM_for_classify
- 混合高斯模型EM算法,对数据样本进行归类-EM algorithm by mixture gaussian model, calssify the data samples
顺序高斯消去算法
- vc6.0 实现的高斯消去算法，可用于学习了解。(VC6.0 implementation of the Gauss elimination algorithm, can be used to learn to understand.)
高斯混合模型GMM-latentSpace-v2.0
- 用于背景建模实现视频运动目标分割 与目标跟踪算法(For background modeling, video moving object segmentation and object tracking algorithm)
MATLAB_高斯模型
- 用高斯模型算法来处理视频，提取前景信息，适合动态背景(Gauss model algorithm is used to process video and extract foreground information, which is suitable for dynamic background)
单高斯程序
- 单高斯算法用于静态背景下显著目标的拾取该方法较为简单，也能应对静态背景下的目标拾取。(Used for picking up salient objects in static background)
二维高斯滤波matlab
- 此程序是应用于图形图像处理，基于matlab软件的二维高斯滤波算法实现。(This program is applied to graphics and image processing, based on MATLAB software two-dimensional Gauss filtering algorithm.)