mohu_img_enhance

主成分分析程序包，包括主成分分析和独立主成分分析两个程序源代码。(Principal component analysis package, including principal component analysis principal component analysis and independent source code for both procedures.)

利用Artoolkit实现了虚拟现实的算法，VS2008下测试通过(Use Artoolkit algorithm to achieve a virtual reality, VS2008 under test)

基于PCA的人脸识别历程，包含PCA的算法，用MATLAB实现的。(face recognition based on PCA)

基于粒子滤波的目标跟踪源码，需要opencv和gsl两个库的支持，运行效率较高(Particle filter based target tracking source, two gsl library opencv and need the support of high efficiency)

说明：  相关图像算法包括大律法分割，梯度分割，分水岭分割，活动轮廓，最小生成树，相关基因算法(Great Law Segmentation, Gradient Segmentation, Watershed Segmentation, Active Contour, Minimum Spanning Tree, Related Gene Algorithms)

实现菲涅耳数字全息的方里面包括同轴和离轴 欢迎大家下载(feinieer shuziquanxi··)

基于Kalman滤波和Meanshift算法的目标跟踪算法的C++程序，运行可用，具有参考价值。(The C++ program of target tracking algorithm based on Kalman filter and Mianshift algorithm is available and has reference value.)

读取RAW格式文件，将其转换为BMP格式文件并存储(raw 2 bmp file format convert)

根据D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis 以及 C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.这两篇文献提供的方法编写的图像分割代码，作者是 Chris M. Christoudias, Bogdan Georgescu，代码经我看了后加了丰富的中文注释，希望可以给各位带来阅读上的方便。 基于meanshift的聚类分割方法包括滤波、区域融合等操作，通过调整sigma和sigmar来调整分割效果。(According to D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis, and C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision. These two documents prepared by the methods provided by image segmentation code , the author is Chris M. Christoudias, Bogdan Georgescu, after I read the code, add a rich Chinese notes, hoping to bring you the convenience of reading. Segmentation method based on clustering meanshift including filtering, regional integration and other operations, and by adjusting the sigma sigmar to adjust segmentation results.)

Application of the Fourier-Mellin transform to translation-, rotationand scale-invariant plant leaf identification