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256色显示文件。在DOS环境下用256原色显示BMP格式的图片。(256-color display documents. In the DOS environment display with 256 color BMP format picture.)

很好用的风能利用系数曲线，对开始学习的同学有帮助(Good use of wind energy utilization coefficient curve, start learning help students)

说明：  给出数字图像处理的，程序MATLAB的原代码，可以直接用于实验与验证(Given digital image processing, the original code of MATLAB program, can be directly used for experiment and verification)

超像素实现图像分割，可以实现彩色图像分割(An EM algorithm is used for image segmentation.)

说明：  SUSAN得源代码 希望对你有用 SUSAN得源代码(SUSAN source code in hopes SUSAN useful to you in source code)

本书是第一本也是唯一一本详细介绍LOD(Level of Detail)的书。本书介绍了LOD的理论和多种实现的算法，讨论了LOD的实际应用，包括游戏编程中的优化、地形的优化等。本书是所有从事计算机图形领域的专业人士所必须参考的书，包括计算机游戏编程、医学可视化、计算机辅助设计，以及虚拟现实系统等等。(This book is the first and only one detail LOD (Level of Detail) book. This book introduces the theory and a variety of LOD realization algorithm, discussed the practical application of LOD, including game programming in the optimization, optimization, such as terrain. This book is all persons engaged in the field of computer graphics professionals who need to reference books, including computer game programming, medical visualization, computer-aided design and virtual reality systems.)

不错的SVM实现算法,采用的是LS-SVM算法,这是C版本,还有一个MATLAB版本(A good SVM implementation algorithm, using the LS-SVM algorithm, this is the C version, there is a MATLAB version)

说明：  matlab实现均值滤波，中值滤波，同时操作(Matlab to achieve mean filtering, median filtering)

基于轨迹划分的异常轨迹检测方法。首先采用两种分段粒度将每条轨迹分为若干子轨迹线段，然后，在基于距离的异常检测方法的基础上，引入调整系数的概念，采用密度与距离相结合的方法进行异常轨迹检测。 (Abnormal trajectory detection method based on trajectory partition.Firstly each trajectories should be divided into several substrajectories using two granularities. Then the notion of adjustment coefficient is introduced on the basis of distance based anomaly detection method, and the abnormal trajectories are detected combining density and distance. )

说明：  这是一篇关于大气湍流退化图像复原的硕士论文，我用matlab对该论文中阐述的方法进行了仿真(This is a master's thesis on the restoration of atmospheric turbulence degraded images. I used Matlab to simulate the methods described in this paper.)