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CameraCalibrate(相机标定)
利用棋盘格对相机进行标定,加入误差判定及像素空间到实际物理空间的距离计算(The camera is calibrated by checkerboard, the error is added and the distance of pixel space to the actual physical space is calculated)
- 2017-07-26 16:47:44下载
- 积分:1
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partical-filter
粒子滤波的五个经典例子,需要的赶紧下,对与学习部分内容很有帮助(Particle filter five classic example of the need to hurry, the right part of the contents and learning very helpful)
- 2009-09-11 20:58:04下载
- 积分:1
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Canny_Improve
有关改良Canny算法的一些还算可以的文献(Improved Canny algorithm on some literature.)
- 2013-10-30 08:56:31下载
- 积分:1
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useful
很有用的彩色图像分割方法,经本人实验,绝对可靠(Very useful for color image segmentation method, by my experiment, absolutely reliable)
- 2010-10-10 22:02:54下载
- 积分:1
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图像校正回调函数
本文档主要用于图像的倾斜矫正,通过建立透视变换矩阵和强角点检测实现畸变图形的矫正(This document is mainly used for Image tilt correction, through the establishment of perspective transformation matrix and strong corner detection, to achieve distortion correction)
- 2017-08-22 11:38:04下载
- 积分:1
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灰度共生矩阵
说明: 获取图像灰度共生矩阵特征值代码,包括能量、熵、惯性矩和相关度的均值和标准差,已测试,代码及注释清晰。(The eigenvalue codes of gray level co-occurrence matrix, including the mean and standard deviation of energy, entropy, moment of inertia and correlation, have been tested and the codes and annotations are clear.)
- 2020-06-25 04:20:02下载
- 积分:1
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NSCTPHSI
基于NSCT与HSI的图像融合算法,采用非下采样的Contourlet变换和HSI彩色图像融合。(image fusion algorithms based on NSCT and HSI)
- 2011-10-24 10:40:46下载
- 积分:1
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targer_point
rcmc: 距离徙动算法.SAR多点目标成像算法。含主瓣宽度和积分旁瓣比的求解。(rcmc: range migration algorithm. SAR multi-point target imaging algorithms. Including the main lobe width and sidelobe ratio integral solving.)
- 2020-09-08 20:18:04下载
- 积分:1
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FAST-ICA
1、对观测数据进行中心化,;
2、使它的均值为0,对数据进行白化—>Z;
3、选择需要估计的分量的个数m,设置迭代次数p<-1
4、选择一个初始权矢量(随机的W,使其维数为Z的行向量个数);
5、利用迭代W(i,p)=mean(z(i,:).*(tanh((temp) *z)))-(mean(1-(tanh((temp)) *z).^2)).*temp(i,1)来学习W (这个公式是用来逼近负熵的)
6、用对称正交法处理下W
7、归一化W(:,p)=W(:,p)/norm(W(:,p))
8、若W不收敛,返回第5步
9、令p=p+1,若p小于等于m,返回第4步
剩下的应该都能看懂了
基本就是基于负熵最大的快速独立分量分析算法(1, on the center of the observation data, 2, making a mean of 0, the data to whitening-> Z 3, select the number of components to be estimated m, setting the number of iterations p < -1 4, select an initial weight vector (random W, so that the Z dimension of the row vectors of numbers) 5, the use of iteration W (i, p) = mean (z (i, :).* (tanh ((temp) ' * z)))- (mean (1- (tanh ((temp)) ' * z). ^ 2)).* temp (i, 1) to learn W (This formula is used to approximate the negative entropy) 6 with symmetric orthogonal treatments W 7, normalized W (:, p) = W (:, p)/norm (W (:, p)) 8, if W does not converge, return to step 5 9 , so that p = p+1, if p less than or equal m, return to step 4 should be able to read the rest of the basic is based on negative entropy of the largest fast independent component analysis algorithm)
- 2013-06-27 15:39:00下载
- 积分:1
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use-matlab-for-GPU
matlab结合GPU的资料,初学者可以看看,很不错的解释,适合参考(matlab GPU combined data, beginners can see, very good explanation for the reference)
- 2013-09-11 17:40:35下载
- 积分:1