Four-step-phase-shift-method

包含用于条纹图像的旋转滤波、四步相移法程序和多频外差算法程序，用于光栅投影法的三维重建(Contains filter fringe image rotation, four-step phase shift method procedures and multi-frequency heterodyne algorithm for three-dimensional reconstruction of the grating projection)

一个简单的osg，可以在配置好环境后直接运行测试一下( a simple osg code)

该压缩文件是一个matlab编写的三维重建的示例程序(This zip file contains files that were used in the case study for image processing seminars given by The MathWorks. In brief, the code will take two images that were taken from adjacent layers of a solid wooden dowel. These images can be realigned based on their features such that the solid is reconstructed. This demo shows two images being realligned, but the process can be followed for all the pairs, recreating the entire solid. The benefit of this code is that the realignment is done automatically. )

不是本人编的，转自csdndengpengyong，个人能力有限，望谅解。Tetgen是一个生成四面体网格的开源工具，本实例提供了从网上下载的开源的源码和一个简单的使用的示例，其中附带了Tetgen自带了的一个查看剖分出来的网格的工具TetView.exe，可以运行打开剖分出来的文件查看剖分的结果是否正确。(I was not prepared, carried csdndengpengyong, individual ability is limited, hope and understanding. Tetgen tetrahedral mesh generation is an open source tool, the examples provided from the Internet to download the open source code and a simple example of the use of which comes Tetgen comes out of a mesh grid view tool TetView . exe, you can run out of file viewing open split split the results are correct.)

正三角网格分割球面正三角网格分割球面正三角网格分割球面(Equilateral triangle mesh segmentation spherical programEquilateral triangle mesh segmentation spherical programEquilateral triangle mesh segmentation spherical program)

一个比例和方向自适应均值漂移跟踪算法（SOAMST） 提出本文所要解决的问题，如何估计的规模和方向 改变均值漂移下的目标跟踪框架。在原来的均值偏移 跟踪算法，可以很好地估计目标的位置，规模的同时， 方向的变化，不能自适应估计。考虑到图像（重量） 是来自于目标运动模型和候选模型可以代表的可能性，一个 像素属于目标，我们证明了原来的均值漂移跟踪算法可以 推导出的重量图像的零阶和一阶矩。随着零阶 矩和目标模型和候选模型之间的Bhattacharyya系数， 提出了简单而有效的方法来估计的规模为目标。然后一种方法， 利用估计的区域和第二阶中心矩，提出 自适应地估计目标的宽度，高度和方向的变化。广泛 实验来证实所提出的方法，并验证其可靠性 规模和方向变化的目标。(A scale and orientation adaptive mean shift tracking (SOAMST) algorithm is proposed in this paper to address the problem of how to estimate the scale and orientation changes of the target under the mean shift tracking framework. In the original mean shift tracking algorithm, the position of the target can be well estimated, while the scale and orientation changes can not be adaptively estimated. Considering that the weight image derived from the target model and the candidate model can represent the possibility that a pixel belongs to the target, we show that the original mean shift tracking algorithm can be derived using the zeroth and the first order moments of the weight image. With the zeroth order moment and the Bhattacharyya coefficient between the target model and candidate model, a simple and effective method is proposed to estimate the scale of target. Then an approach, which utilizes the estimated area and the second order center moment, is proposed to adaptively e)

计算图像的二维图像熵,在一维熵的基础上引入能够反映灰度分布空间特征的特征量组成图像的二维熵 包括 计算图像二维图像熵的函数文件 H_img2d.m 调用该函数的代码 H_img2d_test.m 以及测试代码用图像文件 boy.jpg(computing two dimensional image entropy of an image)

本代码用于模拟卫星星下点在地球表面上的投影。可以在程序中给定六要素及其他相关参数，就可以利用MATLAB呈现出仿真图。(The code for a simulated satellite point on the Earth' s surface projection. May be given in the program six elements and other relevant parameters, you can use MATLAB simulation showing a map.)

说明：  给定一个图像，其中包含足够的信息来计算地平面消失线和垂直消失点，以及一个已知高度的物体。然后，只要他们的头部和脚都可见，就可以在场景中的任何地方测量站在地平面上的人的高度。(Given an image which contains sufficient information to compute the ground plane vanishing line and the vertical vanishing point, and also one object of known height for which the top and base are imaged. Then the height of a person standing on the ground plane can be measured anywhere in the scene provided that their head and feet are both visible.)

3D colour histogram of an image