搜索资源列表
Xscale
- 参加 全国 电子设计大赛 的文档, 本文介绍了数字媒体嵌入式服务器的关键技术实现。本系统是一个以Internet为依托,工作在XScale架构、linux操作系统之上的嵌入式WEB服务器。使用了山东大学嵌入式实验室研发的嵌入式图形中间件,利用嵌入式实时数据库对授权网络用户和手机用户信息进行管理,集实时视频采集、视频转发、截图、控制并以多种途径传送,GIS信息发布等多种功能于一体。服务器采用了多级缓冲机制,高效稳定,支持数十个用户的同时访问,界面友好直观,方便用户操作。本系统较好实现了多媒体W
dfdgg
- 图象处理源代码集 图像分割是图像处理、模式识别、计算机视觉等领域中极为重要的内容之一,是实现自动图像分析时首先需要完成的操作。它是根据图像的某些特征或特征集合的相似性准则,对图像像素进行分组聚类,把图像平面划分为一系列有意义的区域,使其后的图像分析及识别等高级处理阶段所要处理的数据量大大减少,同时又保留有关图像结构特征的信息。由于分割中出现的误差会传播至高层次处理阶段,因此分割的精确程度是至关重要的。-image processing source code is a set image s
project1_report1
- The purpose of this project is to explore the issues and implementation of a multiple instruction stream, single data stream processor. We are running two instruction streams on two CPUs which share an address space. The processors share a second lev
reconstruct
- 这是一个关于图像水平集重构的小程序,根据水平集分解,可以经过处理之后重构出新的图像,非常方便,对图像处理作用非常大-This is a level set on the image reconstruction of small programs, according to the level set decomposition, can be treated after the reconstruction of a new image, is very convenient for very
Iris-segmentation
- 一篇主要介绍使用变量水平集方法进行虹膜分割的文章,之后也有其相应的归一化算法介绍以及特征提取及少部分的虹膜匹配-Introduced a level set method using the variable iris segmentation article, and then there are the corresponding normalization algorithm descr iption and a small number of feature extraction and
level-set-interpolati
- 图像修复是图像复原研究中的一个重要内容, 它的目的是根据图像现有的信息来自动恢复丢失的信息,其可以用于旧照片中丢失信息的恢复、视频文字去除以及视频错误隐藏等。-Image restoration image restoration is an important part of the study, its purpose is to present the information according to the image to automatically recover lost info
levelset_lecture
- 这几张PPT内容主要是李春明针对水平集的一些基本知识、应用展开的。-Lichunming-- Curve evolution and level set methods: Curve Evolution: from snake to general curve evolution Level Set Methods: basic concepts and methods Numerical issues: Difference scheme:
set--high-level-program
- 如何设定高级别执行的程序,提供几种启动和修改程序优先级别的方法。-How to set up a high-level implementation of the program, and several start-up and modify the program priority level.
KFCMPLS
- These papers are several hybrid methods based on integration of KFCM (kernel-based fuzzy c-means) and level set.
Fast_Marching_Methods_and_Level_Set_Methods_21116
- Fast Marching Methods and Level Set Methods: An Implementation
tuxianglunkuo
- 图像轮廓提取方法研究 :对现有的轮廓提取~E-q~进行分析,把主要的轮廓提取方法划分为先验知识法、数学形态法、基于梯度的方法、水平集方法、 活动轮廓模型方法、以及神经动力学方法六大类,并研究这些方法的主要特点。对轮廓提取方法研究进行展望,提出神经动力学方 法是轮廓提取方法的发展方向。-The current research methods for contour extracting are discussed.The main methods are classified into
mit18086_levelset_front
- Level set method code
new-reserch
- 关于图割算法的最新研究结合水平集的应用,很有帮助-The latest research on graph cut algorithm combined level set of applications, helpful
Level-Set-Algorithms-on-GPU
- 水平集算法的opencl加速,不错的一篇文章。这方面的资料现在真的很少,难得。-Level-Set Algorithms on GPU
shuipingjifafa
- 水平集基本理论相关的基础知识 可以为MATLAB编程做基础的-Level set the basic knowledge of basic theories related to MATLAB programming to do
levelset
- level set of cut daima-this is level set format,I hope it can help you!
1-s2.0-S0895611110000157-main
- Computer-aided detection of multiple sclerosis lesions in brain magnetic resonance images: False positive reduction scheme consisted of rule-based, level set method, and support vector machine
1-s2.0-S016502701100522X-main_2
- The purpose of this study was to develop a computerized method for detection of multiple sclerosis (MS) lesions in brain magnetic resonance (MR) images. We have proposed a new false positive reduction scheme, which consisted of a rule-based metho
pdf
- level sets水平集的图像分割pdf,caj资料,经过本人挑选的,适用于初学者理解学习-Level sets the level set image segmentation pdf, caj information after I selected, for beginners learning to understand
rw
- level set segematation