Otsu

计算机图形学 c语言实现的直线段裁剪算法(Computer graphics c language to achieve a straight line segment clipping algorithm)

通过erdas遥感软件提取水体的三种操作(Extracting water through software operation of the three operating)

卡尔曼滤波是一种数据处理方法，它是一种线性最小方差无偏估计准则，基于系统 状态估计和当前观测，通过引入状态空间而获得的新的状态估计.本篇论文陈述了卡尔曼滤 波的基本思路和算法；并通过仿真，显示卡尔曼滤波的功能，以及如何用它来跟踪方向确定、速度恒定的飞行器。 (Kalman filter is a data processing method, which is a linear minimum variance unbiased estimation criteria, based on system state estimation and the current observations, obtained by introducing the state space of the new state estimate of the Kalman filter thesis statement the basic ideas and algorithms and through simulation, shows Kalman filtering functions, and how to use it to keep track of the direction determined constant speed aircraft.)

说明：  利用那些已经被破坏的区域的边缘， 即边缘的颜色和结构，根据这些图像留下的信息去推断被破坏的信息区的信息内容，然后对破坏区进行填补 ，以达到图像修补的目的(Using the edge of the damaged area, i.e. the color and structure of the edge, the information content of the damaged information area can be inferred from the information left by these images, and then the damaged area can be filled to achieve the purpose of image repair.)

在matlab环境中用快速傅里叶变换实现多目标追踪，计算的非常快(Matlab environment using the fast Fourier transform to achieve multi-target tracking, very fast calculation)

说明：  基于距离多普勒算法和CS算法实现SAR点目标仿真与实测数据处理(Realization of SAR Point Target Simulation and real data processing)

用来将一个指纹图片切成指定像素大小的片段，并将计算他的方向场和系数(Used to cut a fingerprint image into the specified pixel size pieces, and calculates the direction of the field and the coefficient )

说明：  《视觉SLAM十四讲》高翔，完整版，前10章。对视觉定位，机器学习，深度学习有很大帮助(Gao Xiang, the complete version of vision slam 14 lectures, is very helpful for vision positioning, machine learning and deep learning)

基于离散余弦变换的数字水印，包括水印的嵌入和提取以及常间的各种水印攻击(Discrete cosine transform based on digital watermarking, including the watermark embedding and extraction, as well as between the various watermark attacks often)

数字图像处理英文版第三版60多M~很难找到！！希望大家珍惜再珍惜！(digital image processing English and third version,about over 60 M, difficult to find ,hope everybody cherish it !)