chepai

从键盘读取输入信息，并绘制最终的高斯函数。(Read from the keyboard to enter information, and rendering the final Gaussian function.)

图像处理中比较有用的二维图像光谱分析，Matlab源代码(Image processing more useful two-dimensional image spectra, Matlab source code)

说明：  实现了双线性插值、三次样条插值、B样条插值和最大阶次优化差值等传统多项式图像插值办法(Traditional polynomial image interpolation methods such as bilinear interpolation, cubic spline interpolation, B spline interpolation and maximum order optimization difference are realized.)

计算机视觉和视觉测量中常用的椭圆拟合程序。用于视觉测量中的圆形标志点检测。(Computer vision and visual measurement of the ellipse fitting procedure used. Vision for the measurement of circular signs point detection.)

说明：  16.1利用小波变换法将两幅图融合 16.2利用小波包法将两幅图融合 16.3利用小波变换进行图像分解 16.4重构系数 16.5小波变换提取一个子代直方图 16.6利用小波变换对给定图像旋转后，提取一个子代 16.7提取小波分解概貌系数(16.1 Fusion of Two Pictures Using Wavelet Transform 16.2 Using Wavelet Packets to Fusion Two Pictures 16.3 Image Decomposition Using Wavelet Transform 16.4 Reconstruction coefficients 16.5 Extracting a Child Histogram Using Wavelet Transform 16.6 Extracting a Child After Rotating a Given Image Using Wavelet Transform 16.7 Extracting Wavelet Decomposition Profile Coefficients)

反混淆直线 采用未加权的区域采样算法 效果很不错()

基于麦克风阵列的高信噪比定向采音系统_何强(Based on high SNR directional microphone arrays adopt sound system _ He Qiang)

小波包变换去噪和滤波去噪的word，可以直接剪切到MATLAB。有分析(Wavelet Packet Denoising and filtering denoising word, you can cut directly to MATLAB. Some analysts)

绣花问题是连续型的填充，在不同区域的缝制过程中，缝针不能提针，因此不能用一般的离散型区 域填充方法处理。本文运用几何计算和图论理论提出了一个绣花缝针轨迹自动生成算法：先对轮廓走向进行 定义，通过轮廓铅垂方向的局部极值点的分割线将图案从上向下进行分割，采用交点的特征值比较彻底的解 决了分割时的重点问题，将图案区域准确的划分成缝针能一次完成的若干个节点。在此基础上根据节点的邻 接关系建立节点的邻接“图”，通过图论中半哈密尔顿路径或深度遍历方法找到节点的遍历（缝制）序列和每 个节点的缝制方向，最后可对设定的起点、终点和缝针间隔的条件自动提供缝针的走向轨迹。(In the process of embroidering, needle can not hang up for changing to a different area. Therefore, Embroider problem could be abstract as a continuous area-filling work. Considering disperse area-filling methods can not process this problem well. Based on geometry computing and graph theory, an algorithm of finding path of embroidering needle are proposed in this paper. First, outline orientations are defined, and finding all local extreme points of inner outline on their gravitational orientation to build sectioning lines so as to divide the picture. By using intersection point character the overlap point problem was solved perfectly. Therefore, the picture is divided into some nodes which can be finished alone. Then, based on connections of these nodes, an adjacency graph of nodes was built. Using half-Hamilton path or depth-first search method, both embroidering sequence and direction of these nodes could be got from the graph. Finally, from a defined start-point, end-point)

该实例实现了 截图并识别截图中的文字功能 该项目需要在安装 Microsoft Office Document Imaging 下载地址 如下: http://www.xdowns.com/soft/4/25/2009/Soft_50716.html