jizuobiao

主要思想是用meanshift算法跟踪目标，拖动矩形框选择目标模板，meanshift自动跟踪 本程序的主要缺陷体现在帧差法自动识别目标，这部分功能与上一个功能独立，可用可不用，用于自动识别目标，效果不是很好，主要体现在对图像视频的要求是 背景（目标以外的所有事物）不能动(The main idea is to use meanshift algorithm to track the target and drag a rectangle to select the target template, meanshift automatic tracking The main drawback of the program is reflected in the frame difference method automatically identifies the target, which is part of the function and one function independently, may or may not, be used to automatically identify the target, the effect is not very good, mainly reflected in the requirements of the video image is the background (target All things outside) can not move)

说明：  Matlab编写的程序代码，包括基于肤色的人脸检测，根据人脸图像判别眼睛的状态（睁眼及闭眼）(Matlab program written in code, including color-based face detection, face image in accordance with the state of discriminant eyes (eyes open and eyes closed))

该m文件是用来仿真合成孔径雷达SAR的斑马图，即菱形图的，是本人自己设计的，可用。(M file is used to simulate the synthetic aperture radar SAR zebra figure, namely diamond chart, is my own design, is available.)

用matlab写的一个将人脸图像进行归一化处理的程序，主要是将多个图像的尺寸进行调整使其大小一致。(Matlab write a face image the normalization processing program, mainly to adjust the size of multiple images to make it the same size.)

使用PCA和SVD进行数据去噪，利用数据主要的特征向量进行数据恢复和重建(Using PCA and SVD for data denoising)

利用四元数对彩色图像进行各种图像处理的，如滤波、快速傅立叶变化、图像质量评价等。(Use quaternion various images for color image processing, such as filtering, fast Fourier transform, the image quality evaluation.)

遥感图像的读取，显示。包括BSQ、BIL、BIP格式。带实验数据。(Remote sensing image read, display. Including the BSQ, BIL, BJP format. With the experimental data. )

基于稀疏表示的目标跟踪,对于稀疏表示应用于图像处理的同志可是一个借鉴。(Robust Object Tracking via Sparsity-based Collaborative Model)

利用脉冲耦合神经网络（pcnn）实现图像滤波的源程序，已经过测试。(Using pulse coupled neural networks (pcnn) the realization of the source image filtering, has been tested.)

运用Perona-Malik各向异性扩散模型对3d图像进行平滑去噪。此方法可以有效的抑制高斯噪声，并保护图像的边缘特征。(The use of Perona-Malik anisotropic diffusion model for smooth 3d image denoising. This method can effectively suppress Gaussian noise and to protect the image of the edge feature.)