搜索资源列表
属性相似度的云分类器
- matlab环境下，基于云模型的分类器，包括基于例子群优化的云分类器，和属性相似度云分类器。-Matlab environment, based on cloud model for the classification, including examples Swarm Optimization Based on the cloud classifier, and attribute similarity cloud classifier.
DrawTree_Ctl
- 实现云模型与分形的树模拟，用MATLAB和VB混合编程实现-achieve cloud model and fractal tree simulation with MATLAB and VB Programming
高维数据空间划分树
- 用matlab编写的k-dtree，加快搜索，在点云拼合中应用广泛。-Matlab prepared with k-dtree, to speed up the search, put together in the point cloud in a wide range of applications.
CloudModel
- 这是用MATLAB设计的云模型代码。多多支持-cloud model
combinedcloud1
- 用MATLAB 实现的综合云模型的实现。很有意思和参考价值-Implemented with the MATLAB implementation of comprehensive cloud model. Very interesting and valuable
Curvature
- 这是一个曲率算法实现工具,对图像处理有着重要的应用,并有测试代码-This is a curvature algorithm tool for image processing has important applications, and test code
half_normal_cloud
- 在MATLAB 中实现半正态云，写的很详细，有参考和学习价值-In MATLAB to achieve half the normal cloud, written in great detail, with reference to and learning the value of
LAI
- MATLAB实现水云模型反演植被指数，一种基于合成孔径雷达的方法。(MATLAB realized the vegetation index of water cloud model.)
yun zhibiao
- matlab 基于云模型的模糊综合风险评估源代码(Source code of fuzzy comprehensive risk assessment based on cloud model in MATLAB)
dianyunMATLAB
- 使用MATLAB 根据点云数据文件生成等高线图(Generating contour map from point cloud file)
MATLAB读取显示txt格式点云
- MATLAB读取显示txt格式点云，很简单的算法(MATLAB Read and Display TXT Format Point Cloud)
自己敲的混沌加密
- 简单的混沌加密，在网易云课堂听课，做的笔记，简单的几个混沌加密，数字水印混沌加密，混沌加密生成二值图像、灰度图像、RGB图像(Simple chaos encryption, in the netease cloud class, take notes, a few simple chaos encryption, digital watermark chaos encryption, chaos encryption generated binary image, gray image, RG
ascread
- matlab中读取asc点云文件，形成点云数据(Read ASC point cloud file in MATLAB to form point cloud data)
ICP算法matlab实现
- 很好地实现了激光雷达点云的ICP配准，附带数据(ICP registration of LIDAR point cloud is well realized)
mouse_CloudPoints
- 3D逆向建模用的点云，特M的之前找个点云，其他平台下载个数据还要花一堆各种币，太抠门了，分享给大家，随便用。(Point cloud for 3D reverse modeling, find a point cloud before TM, and other platforms need to spend a lot of money to download data. It's too stingy, share it with you, and use it casually.)
点云数据读取与操作
- 这是基于matlab平台实现的三维点云数据读取与显示，以及相应的操作。非常适合初学者学习，强烈推荐(This is based on the MATLAB platform to achieve the three-dimensional point cloud data reading and display, as well as the corresponding operation. Very suitable for beginners, highly recommended)
改进的基于划分算法的三维点云聚类matlab实现
- 根据网上基于划分法k-means的聚类算法，我做了改进。可以预设一个最大的类数和一个半径，自动划分合适的类。最终将随机三维点云聚类完成后显示为不同颜色。(According to the clustering algorithm based on partition K-means on the Internet, I improved it. A maximum number of classes and a radius can be preset to automatically divi
code
- 在同一条关键路径上，若微服务j和与其直接关联的微服务j-n不在同一边缘计算节点或云中心执行，则存在云-边数据传输时间Ti,j-n,j，微服务j要在数据传输完成以后才能开始执行。其中，n表示同一条关键路径上微服务j与其直接相关联的微服务j-n之间的节点逻辑距离，datai,j-n,j表示微服务j-n与微服务j之间数据传输的大小。(In the same critical path, if microservice J and its directly associated microservice
点云进行matlab三维重建
- 使用matlab,基于点云进行三维物体重建，里面包括一些图片(3D reconstruction of point cloud)
极化分解的CLOUD算法
- 经典的CLOUD极化分解算法，通过此MATLAB程序可以实现对全极化数据的极化分解