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biancheng
实现图像自动拼接和匹配，是毕业设计的作品，看看一定会对你有所帮助的！(Automatic image stitching and matching to achieve is a graduate design work, will you take a look at some helpful!)
- 2009-12-08 21:12:39下载
- 积分：1
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颜色特征提取
说明： 图像颜色显著性，包含颜色直方图和颜色矩，是颜色显著性评价的重要内容(Image Color Salience)
- 2019-11-28 11:46:59下载
- 积分：1
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FLD_basedFaceRecognitionSystem_v2
pca+fisher 人脸识别MATLAB程序，附加图像数据库，适合简单的人脸识别。
(pca+ fisher face recognition program using MATLAB , adding image database for easy recognition.)
- 2010-10-27 15:23:21下载
- 积分：1
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LevelSet_ChunmingLi_v0(wzw)
水平集图像分割代码，对应论文为Li C, Xu C, Gui C, et al. Level set evolution without re-initialization: a new variational formulation[C]//Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on. IEEE, 2005, 1: 430-436.(Level set image segmentation code, the corresponding papers of Li C, Xu C, Gui C, et al Level set evolution without re-initialization:.. A new variational formulation [C]// Computer Vision and Pattern Recognition, 2005 CVPR 2005 IEEE. Computer Society Conference on IEEE, 2005, 1:. 430-436.)
- 2014-03-16 16:39:07下载
- 积分：1
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6image-recover
将一幅M×N的灰度图像用3×3平均滤波器进行模糊，分别再加上一定的高斯
噪声和均匀噪声。然后，设计一个维纳滤波器对这两幅图像进行复原，分别
计算这两幅图像复原前后的PSNR。(Gray-scale image of a MN 33 average filter is vague, respectively, plus a Gaussian noise and uniform noise. Then, design a Wiener filter to recover these two images, the two images before and after the recovery of PSNR were calculated.)
- 2013-04-11 19:57:17下载
- 积分：1
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桐人最帅插画补丁
一个普通的小游戏，没有什么功能，就一个小小的游戏(An ordinary little game, no function, just a garbage game.)
- 2020-06-19 17:00:01下载
- 积分：1
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BilateralFiltering
Matlab程序，用于图像去噪声处理，特色是能够在去噪时保护图像边缘，是非线性滤波处理(Matlab program for the image to deal with noise, features that can protect the edge denoising is nonlinear filtering deal)
- 2008-03-02 10:41:59下载
- 积分：1
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DLT
基于visual c++平台，相机标定方法中的直接线性变换方法，即DLT方法(Based on visual c++ platform, camera calibration method of direct linear transformation method, namely DLT method)
- 2013-09-05 16:34:56下载
- 积分：1
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top
弹流油膜数值计算画等高图，难以得到预想马蹄形特征，通过代码处理，可以方便的解决问题，得到满意的预想图(EHL film numerical draw contour map, it is difficult to obtain desired characteristic horseshoe, processing through the code, you can easily solve the problem, get a satisfactory RENDERING)
- 2013-06-06 09:21:08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
