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Description: 单高斯模型是一种图像处理背景提取的处理方法，适用于背景单一不变的场合，其他如混合高斯模型等方法都是对单高斯模型的扩展，单以单高斯模型最为简便，而且采取参数迭代方式，不用每次都进行建模处理。-Single Gaussian model is an image processing method for processing background extraction, suitable for constant background single occasion, other methods such as Gaussian mixture models are extensions of the single Gaussian model of a single Gaussian model single easiest and take parameters iterative manner, not every modeling process.
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Size: 7147520 |
Author: 高炳辉 |
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Description: 高斯混合模型，通过EM算法迭代得出，可用于语音识别，图像识别等各种领域(Gauss mixture model is iteratively obtained by EM algorithm, and can be used in various fields such as speech recognition and image recognition)
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Size: 1024 |
Author: TimeMiddle
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Description: 图片配准，点集分类，采用EM方法求解高斯混合模型。(Image registration, point set classification, EM method is used to solve the Gauss mixture model.)
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Size: 4096 |
Author: iceshi
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Description: 高斯混合模型 马尔科夫
image segmentation MRF GMM GMM ICM(Gauss mixture model)
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Size: 3208192 |
Author: chenewy |
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Description: 本文以k-means算法为背景，引入信息熵相关知识，从而实现全自动分割图像。然而在利用混合高斯模型对图像进行数据分析时，会发生一定的过拟合现象，导致我们得不到预期的聚类数目。本文设计合理的合并准则，令模型简化，有效地消除过拟合现象，使得最后得到的聚类数目与预期符合。，设计合理的准则改进了图像的全自动分割方法，使得分割结果更加优化(In this paper, k-means algorithm is used as the background, and information entropy related knowledge is introduced to realize full-automatic image segmentation. However, when the Gaussian mixture model is used to analyze the image data, there will be some over-fitting phenomenon, resulting in that we cannot get the expected number of clusters. In this paper, a reasonable merging criterion is designed to simplify the model and effectively eliminate the over-fitting phenomenon, so that the final clustering number is in line with the expectation. A reasonable criterion is designed to improve the automatic image segmentation method and make the segmentation result more optimized.)
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Size: 1024 |
Author: xiaoxiaofish |
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Description: 基于高斯混合模型和隐马尔科夫模型的图像分割算法(Image segmentation algorithm based on Gaussian mixture model and hidden Markov model)
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Size: 3305472 |
Author: 快乐无比 |
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