mean-shift

点云压缩 三维显示 数据输出到文本，并实现数据的输出和保存(point cloud)

这个程序是用来绘制光子晶体光纤的色散曲线。(This program is used to draw the dispersion curves of the photonic crystal fiber.)

用数学形态学方法进行医学图像的边缘检测，程序调试通过(nice programs)

说明：  IPL库是Intel为了配合其MMX,SSE,SSE2以及将来的VLSW等技术发布的图像处理库 支持1,8,16,位有/无符号，32位有符号，32位浮点类型数据类型。 支持RGB,CMYK,YCACB,YUV,XYZ,色彩空间，支持alpha通道 支持矩形ROI,通道ROI，遮罩 支持分块图像，错误处理，用户定义函数 支持图像数学，几何，滤波，图象统计，色彩空间变换操作。(IPL is the database to accommodate its Intel MMX, SSE, SSE2 and future technologies such as VLSW issued by the image processing support for 1, 8, 16, spaces with/without symbols, and symbols are 32, 32-bit floating-point type data types. Support for RGB, CMYK, YCACB, YUV, XYZ color space, support alpha channel support rectangular ROI, ROI access, support shielding block images, error handling, user-defined functions to support image mathematics, geometry, filtering, image statistics, color space conversion operations .)

这是一个基于二维的2D组合交互程序，可以随意加到自己相关程序中(This is a combination of 2D interactive program based on a two-dimensional, can be freely added to their program)

图像融合，主要是利用高通滤波方法，ihs变换方法，主成分分析方法，小波方法以及小波+IHS方法。(Image fusion, mainly using high-pass filtering method, ihs transformation method, principal component analysis method, wavelet method and the wavelet+ IHS method.)

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)

利用Kalman Filter进行机动目标跟踪的例子,附有详细的说明文档,(Examples of using Kalman Filter for maneuvering target tracking, a detailed documentation,)

基于ICP的 3D 点云拼接,main.m是主程序(Based on ICP' s 3D point clouds registration, main.m is the main program)

说明：  这个程序是用harr小波对图像进行分解和重构，是个可执行的源代码，已通过调试，大家可用来学习(this procedure is right Harr wavelet image decomposition and reconstruction, is the source of executable code, the debugging, you can be used for learning)