Matlab_Tracker

说明：  这是我们数字图像处理课程的大作业，我自己用matlabGUI做了一个界面，希望对大家有用，谢谢！(This is a large digital image processing program operations, for my own use matlabGUI made an interface and hope for all of us, thank you!)

在图像分割中，FCM作为一种高效的分割方法收到广泛应用，FILCM分割算法是FCM算法的一种改进算法。(In image segmentation, FCM is widely used as an efficient segmentation method, and FILCM segmentation algorithm is an improved FCM algorithm.)

php图像处理，用php实现，进行简单的操作，编辑，修改等功能(Intervention Image is a PHP image handling and manipulation library providing an easier and expressive way to create, edit, and compose images. The package includes ServiceProviders and Facades for easy Laravel integration.)

线性CCD大津动态自适应阈值二值化源程序(Linear CCD dynamic adaptive threshold binarization dajin source program)

球面坐标定位法校正鱼眼图像畸变，使用visual studio 2008 编写，需要OpenCV的支持(Spherical coordinates locating fish eye image distortion correction, prepared using visual studio 2008, requires the support of OpenCV)

基于Gabor的特征提取,gabor滤波器的构造 包含中科院的虹膜库(base on gabor zhongkeyuandehongmoku)

视频演示算法包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 (Algorithm for video presentation include: 1. Static background background prediction target detection 2. Static background frame difference method for target detection 3. Mean Shift tracking method 4. Gravity multi-target tracking method)

关于图像处理的一些基本操作，空间、频域图像增强，形态学处理，边缘检测等(About some of the basic image processing operations, space, frequency domain image enhancement, morphological processing, edge detection, etc.)

说明：  区域生长法的图像分割方法，效果分厂不错，值得借鉴！(Region growing image segmentation method, the effect of a good factory, worth learning!)

说明：  PCA图像降噪新算法-LPG PCA，全名叫做Two-stage Image Denoising by Principal Component Analysis with Local Pixel Grouping。内含算法代码和数据集，均经本人实测，可进行灰度图像和RGB图像的降噪，且PSNR和SSIM指标明显好于小波滤波、K-SVD等经典算法。值得学习图像降噪的看看！(The new algorithm of PCA image denoising LPG PCA, full name is two stage image denoising by principal component analysis with local pixel grouping. The algorithm code and data set can be used to reduce the noise of gray image and RGB image, and the PSNR and SSIM are better than the classical algorithms such as wavelet filtering and K-SVD. It's worth learning about image denoising!)