hyperMnf

说明：  一、主要研究内容 1.基本内容 本设计目标在于利用Matlab强大的图像处理能力和实用便捷的编程方法，通过处理包含人脸的视频帧系列图像，灰度积分投影技术的眼睛定位方法，进而利用perclos计数，计算眨眼率，从而得到比较准确的疲劳状况。包括lun文初稿撰写。 2.具体要求 本设计基于灰度积分投影技术的眼睛定位方法，再结合perclos技术。首先通过图像预处理技术得到灰度分配较为均匀的图像,然后分别利用水平和垂直灰度积分投影曲线结合人脸的结构特征找到眼睛的位置坐标,实现了准确的眼睛定位,通过perclos技术技术眨眼率，根据先验值得到是否疲劳。 二、算法原理 视频输入——预处理去除非人脸区域——人脸定位——人眼定位（灰度积分投影）——眼睛张合度——perclos技术统计——输出结果 三、GUI界面设计 [需要有一定编程功底](1. Basic contents The goal of this design is to use the powerful image processing ability of MATLAB and the practical and convenient programming method, through processing the video frame series images including face, the eye location method of gray integral projection technology, and then using PERCLOS count to calculate the blink rate, so as to get a more accurate fatigue condition. Including the first draft of Lun.)

序列DInSAR技术处理过程，相位在空间维上解缠的MATLAB实现。(Sequence DInSAR technique process, phase d turned over in the space of MATLAB.)

说明：  处理geotiff图像文件格式的开源库，含VC工程文件，编译时需tiff库（libtiff）的支持(handling GeoTIFF image file format open source, containing VC engineering documents, compiled take tiff library (libtiff) support)

位图操作图形选取源码，例程程序结合易语言位图操作支持库，填充小图形的背景颜色。(Select the source bitmap graphics operations , routine program combining bitmap operations easy language support library , filled with small graphic background color.)

对于图像不同纹理特征值（能量、熵、惯性矩、相关）的提取(For different image texture feature value (energy, entropy, moment of inertia, related) extraction)

基于加权最小二乘最优化框架的滤波器。可用于实现图像的分层编辑。(Weighted least square)

傅里叶时域频域变换图形处理S参数在时域的应用(Fourier time domain frequency domain transform graphics processing S-parameters in the application of the time-domain)

图形图像处理，混合高斯图像背景估计＆更新(Graphic image processing, mixed-Gaussian background image is estimated )

利用c均值方法对图象进行聚类分割,此为matlab环境下的仿真代码(Use c-means clustering methods for image segmentation, this is matlab code simulation environment)

通过两台相机拍摄的立体像对完成对目标的快速实时测量，用于构建道路交通等数据快速采集系统。(Through two three-dimensional camera for the completion of the goal as fast real-time measurement, used to build road traffic, such as rapid data acquisition system.)