ch_8_4_3

说明：  利用HOG算子实现电脑读取图像并进行面部识别与检测(Using hog operator to realize computer reading image and face recognition and detection)

好用地 matlab版本地 用hough变换进行直线提取地程序，提取最长地直线，以后会改进，可以提取累计矩阵中，局部峰值点地直线！(good land use Matlab version hough transform line extraction procedures. to extract the longest line, it will improve, can extract accumulated matrix, partial to the peak point straight!)

Image Watershed Segmentation图像边缘提取(Image Watershed Segmentation Image Edge Detection)

说明：  在产生混沌伪随机序列的混沌映射中，Logistic映射(Logistic Map)是一种简单而经典的映射。其中u称为分形参数，随着u逐渐增大，出现倍周期分岔现象。可用于密文域图像加密。(Logistic Map is a simple and classical mapping for generating chaotic pseudo-random sequences. U is called fractal parameter, and with the increase of u, period doubling bifurcation occurs. It can be used for image encryption in ciphertext domain.)

实现了geodesic active contour图像分割算法，用到AOS scheme and level set method(Realize the geodesic active contour image segmentation algorithm, using AOS scheme and level set method)

说明：  在这个知识库中，图形信号处理的一些有趣的特性被表示出来。演示通过经典信号处理和图形信号处理对一维和二维欧几里得域信号应用低通滤波器，比较两种方法的结果。在此基础上，验证了图形信号处理的工作机制。此外，还描述了在非欧几里得域上滤波信号的示例。(In this repository, Some fascinating features of Graph Signal Processing were represented. Demos incudes applying a low-pass filter on both 1D and 2D euclidian domain signal by classical signal processing and also Graph signal processing to compare both results are the same. Within that way, we will validate the working mechanism of Graph Signal Processing. In addition to this, an example of filtering a signal on the non-euclidian domain was also represented.)

matlab做的标定程序，包括角点检测与张正友标定算法做的，有界面 (matlab to do the calibration interface, including the corner detection algorithm and Zhang Zheng-you do calibration)

针对杂波环境下的多个机动目标跟踪问题, 本文将多模型概率假设密度 (Multiple-model probability hypothesis density, MM-PHD) 滤波器和平滑算法相结合, 提出了 MM-PHD 前向 – 后向平滑器. 为了避免引入复杂的随机有限集 (Random finite set, RFS) 理论, 本文根据 PHD 的物理空间 (Physical space) 描述法推导得到了 MM-PHD 平滑器的后向更 新公式. 由于 MM-PHD 前向–后向平滑器的递推公式中包含有多个积分(By integrating the multiple-model probability hypothesis density (MM-PHD) filter with the smoothing al- gorithms, an MM-PHD forward-backward smoother is proposed in this paper for tracking multiple maneuvering targets in clutter. To avoid use of complex random finite set (RFS) theory, the backward updated equation of the MM-PHD smoother can be derived according to the physical-space explanation of the PHD)

C语言图形、图像函数 功能实用全面介绍(C language graphics, images, full function functional and practical introduction)

说明：  基于GEE平台的Landsat5 SR影像去云及NDVI计算(Landsat5 SR image cloud removal and NDVI computing based on GEE platform)