Description: 模糊图像阈值分割的代码，基于模糊最大entropy-Blurred image threshold segmentation of the code, based on fuzzy maximum entropy Platform: |
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Author:倪超 |
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Description: 基于模糊最大熵的红外图像增强算法法，对于红外图像效果很好可直接使用。
-Enhancement algorithm based on the infrared image of the fuzzy maximum entropy method, the good can be used directly for the effect of infrared images. Platform: |
Size: 3808256 |
Author:liyun9090 |
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Description: 在众多聚类算法中,基于划分的模糊聚类算法是模式识别中最常用的算法类型之一.至今,文献中仍不断
有关于基于划分的模糊聚类算法的研究成果出现.为了能更为系统和深入地了解这些聚类算法及其性质,本文从改
变度量方式、改变约束条件、在目标函数中引入熵以及考虑对聚类中心进行约束等几个方面,对在 C-均值算法的
基础上得到的基于划分的模糊聚类算法作了综述和评价,对各典型算法的优缺点进行了实验比较分析.指出标准
FCM算法被广泛应用的原因之一是它对数据的比例变化具有鲁棒性,而其他类似的算法对这种比例变化却很敏感,
并以极大熵方法为例进行了比较实验.最后总结了基于划分的模糊聚类算法普遍存在的问题及其发展前景. -Fuzzy partitional clustering algorithms are widely used in pattern recognition field. Until now, more
and more research results on them have been developed in the literature. In order to study these algorithms
systematically and deeply, they are reviewed in this paper based on c-means algorithm, from metrics, entropy, and
constraints on membership function or cluster centers. Moreover, the advantages and disadvantages of the typical
fuzzy partitional algorithms are discussed. It is pointed out that the standard FCM algorithm is robust to the scaling
transformation of dataset, while others are sensitive to such transformation. Such conclusion is experimentally
verified when implementing the standard FCM and the maximum entropy clustering algorithm. Finally, the
problems existing in these algorithms and the prospects of the fuzzy partitional algorithms are discussed. Platform: |
Size: 452608 |
Author:成方 |
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Description: 本文展示了一种自动识别视频中移动目标的方法。论文中提取移动目标通过帧序列，这种方法不需要先验知识，比如：时间阈值调整。基于相邻帧的连续对称差分，我们能得到全分辨率显著图；然后利用最大熵方法计算阈值决定候选区域和获得兴趣点的种子；最后用修改的模糊生长方法获得最终的结果。本文中提出的算法是有效的、具有鲁棒性的。实验结果也证明它具有很好的效果。(This paper presents a method for automatic recognition of moving targets in video. In this paper, moving target is extracted through frame sequence. This method does not require prior knowledge, for example, time threshold adjustment. Continuous symmetry of adjacent frames based on the difference, we can get the full resolution salient map; then calculate the threshold decision candidate region and obtain seed points of interest using the maximum entropy method; finally, using modified fuzzy method to get the final result of growth. The algorithm presented in this paper is effective and robust. Experimental results also show that it has very good results) Platform: |
Size: 2048 |
Author:没7分不改名
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Search - maximum fuzzy entropy