利用LBP纹理模型进行纹理分类，其论文<..Rotation Invariant Texture Classification using LBP Var...

摘要：在交通场景下进行多目标跟踪时，如何正确检测出车辆间的相互遮挡是影响车辆跟踪结果的关键。针对问题，运用投 影理论分析交通场景的三维几何投影特征．用长方体投影轮廓模型对车辆进行建模，重构其乏维投影轮廓，以进行遮挡的检 测和分离。与以往的方法相比，它在估计出的车辆外形轮廓基础t-进行遮挡检测，不需要匹配操作，计算量较小，并能解决 基于匹配的方法无法对付的初始遮挡问题。用实验验证了该算法的有效性。-In multi―object tracking of traf氍c scene。how to detect the occlusion is a key problem for vehicle tracking．A novel vehicle contour based method is prope∞d to deal with this problem．This method firstly extracts the 3D geometry character from the vehicle images according to the projecting theory，establishes the model of the vehicle with the euboid project contour，and then reconstructs its 3D project contour。detects and segments the occlusion l-e- sious．Compared with traditional method，it deals with the problem with less computation because it generates the ve・ hide contour firstly and no match calculation is needed．Moreover，this method is able to solve the initial occlusion problem，which could not be solved with matching based method．The experimental results show that the

一种二值水印嵌入的方法，个人编写的，里面还有ppt，及Arnold置乱算法-a watermark embedded value method, personal preparation, there is also ppt, and Arnold Scrambling Algorithm

可以对图像进行合成操作 如差影法的加运算 减运算 并可以进行逻辑运算 文件中已经有了测试图片 方便直接使用-Images can be synthesized operations, such as poor law-add video subtraction and logic operations can test the image file already have convenient and direct the use of

使用GDI函数绘出基本几何元素，如点、线、矩形、圆、椭圆、多边形、圆弧等、并能够用颜色填充 -Plotted using the GDI function, the basic geometric elements, such as point, line, rectangle, circle, ellipse, polygon, arc, etc., and can be filled with color

这是找的一个小程序略作修改用于测试学习,一个简单的界面,可载入图片,修改图片,二值化处理

[程序语言] IE3, IE4, IE5, NS3, NS4+ [功能描述] 　　生成和解决迷宫问题的Java小程序，可以在支持java的浏览器中运行。迷宫以三维形式显示在窗口中。 　　你可以按下相应的按钮，“New”生成一个新的迷宫，“Solve”按钮用于显示求解一个迷宫问题的路径，“Clear”按钮清除解决迷宫问题的路径。 　　一旦生成迷宫后，你也可以自己用手工来求解它的路径，你可以使用四个箭头键来画出其路径。 　　对于每个迷宫问题来说，仅仅提供一种方案。-[programming language] IE3, IE4, Internet Explorer 5, NS3, NS4 [Description] generation and solve the maze of Java programs can support java browsers running. 3D maze to demonstrate the window. You can press the corresponding button, the "New" to create a new maze, "Solve" button for solving a maze shows the path, "Clear" button to remove solve problems in the maze. Once generated maze, you can get a hand to solve its path, you can use the four arrow keys to paint their path. For each maze issue, the mere provision of a program.

五种边缘检测算子的实现，函数具有很好的通用性，凡是能够得到只想图像像素区指针的情况都可以使用。 配合我上传的那个opentrim使用更好，这是一个bmp全色深操作类，里边还集成了一些其他的机器视觉算法。 对图像进行高斯――拉普拉斯算子的边缘检测 对图像进行拉普拉斯算子的边缘检测 对图像进行罗伯特交叉算子的边缘检测 对图像进行蒲瑞维特算子的边缘检测 对图像进行索贝尔算子的边缘检测-5 kinds of edge detection operator to achieve an excellent general-purpose function, and those who just want to image pixels can be indicators of the situation in the district can be used. I upload that with the use of better opentrim, this is a bmp type operation panchromatic deep inside also integrates a number of other machine vision algorithms. Gaussian images- Laplacian edge detection of image Laplacian edge detection of images of Robert crossover operator on the image edge detection operator Po Ray White of the edge detection of image Sobel operator for edge detection

图像处理，基于matlab执行和去除共享软件日期限制的程序-image processing, based on the implementation of Matlab, and the removal of restrictions on sharing software date procedures

人脸识别的源程序，尝试一下如何上传，下次再传好的-Face recognition source code, try how to upload, send the next best

This a collection of utilities for warping of MRI image volumes. See the man pages for documentation. The warp method is described in detail in the following paper Enhancing the Multivariate Signal of 15-O water PET Studies With a New Non-Linear Neuroanatomical Registration Algorithm IEEE Transactions on Medical Imaging, 1999, 18(6), p306-19 -This a collection of utilities for warpi Vi of MRI image volumes. See the man pages for doc umentation. The warp method is described in det annexed in the following paper Enhancing the Multiv ariate Signal of 15-O water PET Studies With a Ne w Non-Linear Registration Al Neuroanatomical gorithm IEEE Transactions on Medical Imaging, 1999, 18 (6), p306-19