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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
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,
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
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
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
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)