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matlab MRF toy examples

于 2017-07-09 发布文件大小:21KB

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下载积分: 1 下载次数: 8

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代码说明：

关于马尔科夫随机场的分割matlab代码(On the Markov random field segmentation matlab code)

文件列表：

matlab MRF toy examples
matlab MRF toy examples\addNoise.m
matlab MRF toy examples\computeBeliefs.m
matlab MRF toy examples\gaussplot.m
matlab MRF toy examples\getCliqueProb.m
matlab MRF toy examples\getLogProb.m
matlab MRF toy examples\getPropMat.m
matlab MRF toy examples\getRasterNeighbors.m
matlab MRF toy examples\ICM.m
matlab MRF toy examples\initBPMessages.m
matlab MRF toy examples\initICM.m
matlab MRF toy examples\initLocalEvidence.m
matlab MRF toy examples\initMRF.m
matlab MRF toy examples\initNodes.m
matlab MRF toy examples\initPaths.m
matlab MRF toy examples\ipf.m
matlab MRF toy examples\marginals2image.m
matlab MRF toy examples\multMessages.m
matlab MRF toy examples\oneIterBP.m
matlab MRF toy examples\runBP.m
matlab MRF toy examples\showIm.m
matlab MRF toy examples\states2image.m
matlab MRF toy examples\testMRF.m
matlab MRF toy examples\utAxisAngleToRotmat.m
matlab MRF toy examples\utCropImageToPowerOfTwo.m
matlab MRF toy examples\utFilename.m
matlab MRF toy examples\utIf.m
matlab MRF toy examples\utIsScalarBoolean.m
matlab MRF toy examples\utIsScalarInteger.m
matlab MRF toy examples\utIsScalarReal.m
matlab MRF toy examples\utIsSingleString.m
matlab MRF toy examples\utNormalize.m
matlab MRF toy examples\utParseArgs.m
matlab MRF toy examples\utReadPnm.m
matlab MRF toy examples\utRotmatToAxisAngle.m
matlab MRF toy examples\utSafeInverse.m
matlab MRF toy examples\utSafeMult.m
matlab MRF toy examples\utSigmoid.m
matlab MRF toy examples\utWritePnm.m

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image-segmentation-program
给予matlab的图像分割例程，内附相关图片及程序。(Image segmentation routine MATLAB, containing the relevant pictures and program. )

2013-08-05 17:12:56下载

积分：1
demo
关于图像处理的一些基本操作，空间、频域图像增强，形态学处理，边缘检测等(About some of the basic image processing operations, space, frequency domain image enhancement, morphological processing, edge detection, etc.)

2013-09-02 10:34:18下载

积分：1
texturedxl
图像检索。通过计算所要检索的图像与图像库中的距离dis，dis最小者与检索图像同类。(image retrieval. Calculated to be indexed images and pictures of the dis the distance, the smallest dis with similar image retrieval.)

2007-05-17 19:48:28下载

积分：1
2009
跟踪目标的算法，camshift,meanshift.(Target tracking algorithm, camshift, meanshift.)

2009-03-23 11:02:08下载

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FDK算法重建三维图像，期中有GPU并行计算加速fdk算法的实例(back-projection to RECONSTRUCT 3D IMAGE)

2018-02-16 05:30:53下载

积分：1
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CVPR2013中出现的一种显著性特征检测算法，该算法用于模拟人眼视觉识别过程，提取图像中的显著性特征借后期目标对象的检测跟踪等使用，该算法(Context-Aware Saliency Detection。matlab implementation of an classical saliency detection alrogithm,which imitate our recognition process of eyes)

2013-10-03 22:45:25下载

积分：1
Image-Auto-Adjustment
亮度代表了图像的明暗程度，颜色代表了图像的色度，它包含了色调和饱和度。这个代码可以自动对这三个参数进行调整。(Brightness represents the degree of image brightness, color represents the color image, which includes hue and saturation. This code can be automatically adjusted to the three parameters.)

2008-12-12 20:34:27下载

积分：1
xiaobo
结合维纳滤波的小波降噪方法，滤波效果很好(Combination of Wiener filtering of wavelet noise reduction method, filter works well)

2009-10-24 13:59:40下载

积分：1
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
jiyulunkuozuidahuxinxi
说明：用matlab编写的基于轮廓最大互信息图像配准算法(Prepared using matlab contour based on the maximum mutual information image registration algorithm)

2008-10-22 22:18:19下载

积分：1

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