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MRF-ICM 也是先聚类再算的里面有论文

于 2017-06-22 发布文件大小:9196KB

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下载积分: 1 下载次数: 63

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代码说明：

利用马尔科夫随机场对图像进行语义分割，通过ICm求解参数，可以运行，对初学者有较好的借鉴作用(Using Markov random field to semantic segmentation of images, through ICm solution parameters, can run, for beginners have a good reference)

文件列表：

MRF-ICM 也是先聚类再算的里面有论文\A Markov random field image segmentation model for color textured images.pdf
MRF-ICM 也是先聚类再算的里面有论文\covmatrix.m
MRF-ICM 也是先聚类再算的里面有论文\EnergyOfFeatureField.m
MRF-ICM 也是先聚类再算的里面有论文\EnergyOfLabelField.m
MRF-ICM 也是先聚类再算的里面有论文\GMM_parameter.m
MRF-ICM 也是先聚类再算的里面有论文\ICM.m
MRF-ICM 也是先聚类再算的里面有论文\Kmeans.m
MRF-ICM 也是先聚类再算的里面有论文\LL - 副本.bmp
MRF-ICM 也是先聚类再算的里面有论文\LL.bmp
MRF-ICM 也是先聚类再算的里面有论文\main.m
MRF-ICM 也是先聚类再算的里面有论文\Markov Random Field Texture Models.pdf
MRF-ICM 也是先聚类再算的里面有论文\Minimax principle and its application to texture image modeling.pdf
MRF-ICM 也是先聚类再算的里面有论文\MRF Model-Based Algorithms For Image Segmentation.pdf
MRF-ICM 也是先聚类再算的里面有论文\NeiX.m
MRF-ICM 也是先聚类再算的里面有论文\Unsupervised texture modeling using MRF.pdf
MRF-ICM 也是先聚类再算的里面有论文\UNSUPERVISED VECTOR IMAGE SEGMENTATION BY THE ICM METHOD .pdf
MRF-ICM 也是先聚类再算的里面有论文\实验图片\4.bmp
MRF-ICM 也是先聚类再算的里面有论文\实验图片\c1.bmp
MRF-ICM 也是先聚类再算的里面有论文\实验结果\4.bmp
MRF-ICM 也是先聚类再算的里面有论文\实验结果\c1.bmp
MRF-ICM 也是先聚类再算的里面有论文\实验图片
MRF-ICM 也是先聚类再算的里面有论文\实验结果
MRF-ICM 也是先聚类再算的里面有论文

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MATLAB
常规的中值滤波器，在噪声的密度不是很大的情况下效果不错。但是当概率出现的概率较高时，常规的中值滤波处理后，仍然具有噪声点，并丢失了细节和边缘，效果不是很好。自适应中值滤波器可以尽可能的保护图像中细节信息，避免图像边缘的细化或者粗化。(The conventional median filter works well when the noise density is not very large. However, when the probability of probability is high, the conventional median filter still has noise points, and the details and edges are missing. The result is not very good. The adaptive median filter can protect details in the image as far as possible and avoid thinning or coarsening of the image edges.)

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用其中一半的数据采用ANN-BP算法设计分类器，另一半数据用于测试分类器性能。(Half of them with the data ANN-BP algorithm design classifier, and the other half data used to test the performance of classification. )

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新建文件夹
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