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遗传模似退火算法图像分割、还有固定阀值、迭代阀值分割，边缘跟踪等到-genetic simulated annealing image segmentation, there is a fixed threshold, iterative threshold segmentation, at the edge tracking
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本软件包包括四个程序，主要用于图像处理（图像去噪，图像分割）和模拟退火算法。-This package includes four procedures, mainly used for image processing (image denoising, image segmentation) and simulated annealing algorithm.
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图像分割的优化算法，结合了遗传算法和模拟退火算法，并将优化算法和原始otsu方法进行了比较-Optimization of image segmentation algorithm that combines genetic algorithm and simulated annealing algorithm and optimization algorithm and the original method otsu are compared
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基于遗传模拟退火和Otsu法的图像分割。采用一种基于模拟退火算法(SA)的混合遗传算法(GASA),来进行Otsu方法选择阈值，其中进行求解时是非线性的遗传算法（GA）的应用优化了求阈值过程，并尽可能地减少其运算量,而加入SA则避免了遗传算法(GA)常见的早熟收敛现象,从而实现有效简单的图像分割。
-adopt hybrid genetic algorithm(GASA) based on simulated annealing algorithm,choose threshold by O
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遗传模拟退火图像分割算法，对学习图像分割的童鞋们很有帮助，分割效果也很好~-Genetic simulated annealing algorithm for image segmentation, image segmentation of the study of children' s shoes are very helpful, segmentation is also very good ~
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本程序用模拟退火算法实现了图像的单阈值分割，分割效果良好。-The procedures used simulated annealing algorithm to achieve a single image threshold segmentation, segmentation with good results.
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基于马尔科夫随机场的过绿色模拟退火的分割方法程序，包含如何建立马尔科夫随机场。-Markov random field segmentation method for green program based on simulated annealing, including how to build the Markov random field.
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智能计算主要程序源码，有matlab的模糊聚类图像分割，还有VC++编写的模拟退火和遗传算法。-Intelligent Computing The main program source code, there is matlab fuzzy clustering image segmentation, as well as VC++ Prepared simulated annealing and genetic algorithms.
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粒子图像分割及匹配均为自行编制的子例程，基于混沌的模拟退火算法，基于人工神经网络的常用数字信号调制。- Particle image segmentation and matching subroutines themselves are prepared, Chaos-based simulated annealing algorithm, The commonly used digital signal modulation based on artificial neural networ
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利用模拟退火算法改进的kmeans算法，可以实现分类也可以用来分割，matlab版本-Improved simulated annealing algorithm kmeans algorithm can also be used to classify segmentation, matlab version
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IDW inverse distance weighting method, Chaos-based simulated annealing algorithm, Particle image segmentation and matching subroutines themselves are prepared.
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