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basic_method
- test1.m 固定增量法求分界面 test2.m 利用误差平方和函数集群 delet.m 删除数组元素 Err.m 计算误差平方和 Distance.m 欧拉距离计算 -test1.m fixed incremental method for use interface test2.m squared error function cluster de let.m delete array elements Err.m calculation error square Di
circlefitting
- 最小二乘法拟合圆vc实现，最小二乘法(least squares analysis)是一种 数学 优化 技术，它通过 最小化 误差 的平方和找到一组数据的最佳 函数 匹配。 最小二乘法是用最简的方法求得一些绝对不可知的真值，而令误差平方之和为最小。-least squares fitting round vc realized, least-squares method (least squares analysis) is a mathematical optimization techniq
Stereo.zip
- 使用SSD（sum squared differences）算法进行双摄像机图像匹配点计算，基于OpenCv的C++代码实现,Using SSD (sum squared differences) algorithm dual camera image matching points calculation, based on the OpenCv the C++ Code
Fountain-Dance-win
- The Fountain Simulation Here I ll explain Some basic physical things (simulation of a water drop) How to get antialiased points How to use blending Some basic physics... The movement of a drop contains two factors: The directi
findkeypoint
- 摘要：拐点是数字图像中的一个重要信息载体 提出一种新的拐点检测算法 该算法并非寻找连续空间中曲率的离散近似计算方法，而是源于离散曲线的外观特征，推导出离散曲线上拐点处k个点对间欧氏距离平方和局部最小这一重要性质。基于该性质，本算法首先利用Freeman链码的性质.过滤掉物体边界上明显不可能成为拐点的象素，然后在剩余的边界点中通过寻找该局部最小值定位出拐点。给出了本算法与四种著名拐点检测算法的对比实验。 -Abstract: The inflection point is a digital
Aitken
- In numerical analysis, Aitken s delta-squared process is a series acceleration method, used for accelerating the rate of convergence of a sequence. Its early form was known to Seki Kōwa and was found for rectification of the circle, i.e. the calculat
gm
- 经典的频谱共享的EI检索算法，运用动态频谱租用来提高频谱利用率。-Dynamic Spectrum Leasing (DSL) is a new paradigm for efficient spectrum sharing in cognitive radio networks that was recently proposed in [1]–[3]. Unlike in a hierarchical dynamic spectrum access (DSA) network,
Matlabwaveenergy
- 对信号f(x)进行三层小波变换，得到小波系数d1,d2,d3和逼近系数a3，我想求出各个频率段的能量（能量=小波系数的平方和），很不错的应用程序-The signal f (x) for three wavelet transform, wavelet coefficients d1, d2, d3 and approximation coefficients a3, I would like to find the energy of each frequency band (energy =
jpegprotected
- clc img = imread( lena.bmp ) JPEG compression jpegcompression(img, lena_compressed.mat ) JPEG decompression Irec = jpegrestoration( lena_compressed.mat ) System performances [CR,BPP,PSNR,MSE,SNR] = systemperformances(img,Ir
EM
- 利用欧氏距离计算三维模型的中轴，希望对大家有用！-Medial Axis (MA), also known as Centres of Maximal Disks, is a useful representation of a shape for image descr iption and analysis. MA can be computed on a distance transform, where each point is labelled to its distance t
A
- 均方误差信噪比 峰值信噪平均绝对误差的计算-Write MATLAB functions that take two grayscale images as input, and calculate the following image difference metrics: Mean Squared Error (MSE) Signal to Noise Ratio(SNR) Peak Signal to Noise Ra
cz
- AE反距离IDW、克里金Krige插值.txt I显示方法.c www.pudn.com.txt 三对角线追赶法.C 三样条插值函数算法，还包括其他的比如hermite等算法，很全.txt 二分法.c 分段线性插值.c 列主元元素消元.C 利用反距离平方加权插值算法建立规则格网在大数据量离散点数据的情况下，.txt 反距离加权插值，貌似不好用IDWUtil.java 埃特肯.c 复合梯形法.c 复合辛普森.c 弦割法.c 操作复数的类Com
SSD
- 图像处理立体匹配算法：Sum of Squared Defferences (SSD)算法的实现-Image processing stereo matching algorithm: Sum of Squared Defferences (SSD) algorithm implementation
haartest
- 这是关于小波特征变换，其中这里的提取特征分为几个一是零中心归一化瞬时幅度的频谱最大值，二是包络平方值的两倍包络均值平方之差。三是瞬时频率的方差。四是大小波系数的方差，五是信号的四阶累积量之比。-This is the wavelet transform features, which extract features here is divided into several one is zero center normalized spectral maximum of instantaneo
Gabor_Image_Features
- Gabor特征计算：平均能量和平均幅值[gaborSquareEnergy, gaborMeanAmplitude ]= phasesym(im) -Computation of Gabor Features- Mean Squared Energy, Mean Amplitude >>> im = rgb2gray(imread( 001.png )) >>> [gaborSquareEnergy, gaborMeanAmplitude
shuzichulikechengsheji
- 数字处理课程设计的程序，里面包括有褶积滤波，快变滤波，褶积滤波与递归滤波的比较，设计高通滤波因子，分析补零对振幅谱的影响，线性褶积和循环褶积，最小平方反滤波，零相位转换，最小相位转换，对地震记录进行静校正11个程序-Digital Processing course design program, which includes the convolution filter, quick change filter, compare convolution filtering and recurs
fitcircle
- 对离散点进行圆拟合，得到拟合圆的中心坐标和半径- [Z, R] = FITCIRCLE(X) fits a circle to the N points in X minimising geometric error (sum of squared distances the points to the fitted circle) using nonlinear least squares (Gauss Newton)
aareition
- er than mean squared error (MSE) function only. As an additional merit, it is also revealed that rigorous Mercer kernel condition is not required in FKNN networks. When the proposed architecture of FKNN networks is constructed in a layer-by-lay
squareD
- 结合opencv库的使用，用c++代码实现了图片里的矩形检测(use opencv, and c++ detect rectangle in image)
squareD
- 提取图像中规则的直线边界区域，并进行显示(The linear boundary area of the rule is extracted and displayed.)