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SURF源码(matlab版)
说明： SURF的实现代码,用于图像特征提取，对于入门计算机视觉的同学有帮助(SURF implementation code for image feature extraction, for beginners of computer vision students help)
- 2020-07-17 10:58:48下载
- 积分：1
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Hough-detection
Matlab遥感道路提取之Hough检测(Matlab to extract the Hough detect remote road)
- 2011-11-16 20:36:05下载
- 积分：1
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脉冲压缩
说明： 脉冲压缩技术是匹配滤波理论和相关接收理论的一个很好的实际应用。它的提出很好的解决了这样的一个问题：在发射端发射大时宽、带宽信号，以提高信号的速度测量精度和速度分辨力，而在接收端，将宽脉冲信号压缩为窄脉冲，以提高雷达对目标的距离分辨精度和距离分辨力(Pulse compression technology is a good practical application of matched filtering theory and related receiving theory. It solves such a problem very well: transmitting large time-width and bandwidth signals at the transmitter to improve the speed measurement accuracy and speed resolution of the signal, and compressing the wide pulse signal into narrow pulse at the receiver to improve the range resolution accuracy and range resolution of radar to target.)
- 2019-03-18 09:45:28下载
- 积分：1
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example
使用C++和CUDA编写的双边滤波器。在平滑图像的同时可以保持边界(Using bilateral filter the C++ and CUDA written. Boundary can be kept in the smooth image while)
- 2013-01-09 19:06:43下载
- 积分：1
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cvx
国外著名的凸优化程序包，压缩感知理论，恢复算法(Foreign well-known convex optimization package, compressed sensing theory, and recovery algorithm)
- 2012-05-29 23:43:14下载
- 积分：1
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sllePsvm
目标分类（流形学习slle+支持向量机svm）(Target classification (manifold learning slle+ support vector machine svm))
- 2013-07-01 10:04:41下载
- 积分：1
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ocsvm---VS-svdd
支持向量机遥感图像分类代码，内含C、matlab代码，参考文献供学习(Support vector machine remote sensing image classification code
)
- 2020-12-25 22:49:04下载
- 积分：1
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RANSAC
Ransac拟合直线和最小二乘法拟合的比较，对初次接触ransac的读者帮助很大(Ransac fitting straight line and the least-squares fitting of the comparison, the initial contact with the readers of great help to ransac)
- 2009-12-09 18:37:40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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liver_ultr
Abstract—Noninvasive ultrasound imaging of carotid plaques
allows for the development of plaque-image analysis methods associated
with the risk of stroke. This paper presents several plaqueimage
analysis methods that have been developed over the past
years. The paper begins with a review of clinical methods for visual
classification that have led to standardized methods for image
acquisition, describes methods for image segmentation and denoizing,
and provides an overview of the several texture-feature
extraction and classification methods that have been applied. We
provide a summary of emerging trends in 3-D imaging methods
and plaque-motion analysis. Finally, we provide a discussion of the
emerging trends and future directions in our concluding remarks.
- 2013-10-28 12:36:04下载
- 积分：1
