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基于ksw方法和改进遗传算法的图像分割，适用于单目标分割，效率和效果都不错，缺点是结果在一定范围内有些不稳定，遗传算法的通病-Ksw method and based on improved genetic algorithm for image segmentation, applied to single-object segmentation, the efficiency and effectiveness are good, the disadvantage is the result
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基于housdroff距离的图像匹配方法，对噪声、图像的缺失很好的鲁棒性，使用遗传算法的全局搜索策略加快了匹配速度。-Based on housdroff distance of an image matching method, good robustness to noise, lack of image using a genetic algorithm global search strategy to accelerate the matching speed.
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应用matlab实现基于遗传算法的图像处理问题-Application of matlab genetic algorithm based on image segmentation
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改进基本遗传算法与最大熵法结合用于图像分割-Improvement of the basic genetic algorithm combined with the maximum entropy method for image segmentation
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基于遗传算法的双阈值图像分割，是用KSW方法。-Genetic Algorithm Based on dual-threshold image segmentation, is a method of KSW.
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此程序通过遗传算法(ga )实现灰度图像的分割,遗传算法的计算过程首先是将实际的优化问题编码成符合串,-This procedure through the genetic algorithm (ga) realize grayscale image segmentation, genetic algorithm calculation process is to first of all, the actual coding optimization problem into line wit
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基于直方图的遗传聚类算法，用于图象分割，功能相当强大。-Histogram-based genetic clustering algorithm for image segmentation, function quite powerful.
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图像模式识别 VC 代码 之聚类分析，有遗传算法-Image Pattern Recognition VC code of cluster analysis, a genetic algorithm
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本程序用于对工件图像的预处理，边缘提取等。将改进遗传算法和Hausdorff距离结合用于工件识别。采用canny边缘为匹配特征，将修正的Hausdorff距离作为相似性度量准则，并应用遗传算法进行最佳匹配的快速搜索，成功实现了目标物体的匹配识别-This procedure used for the workpiece image preprocessing, edge extraction and so on. Will improve the genetic algorithm and Ha
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基于遗传算法的图像分割元程序，非常实用，推荐一下-Based on genetic algorithm for image segmentation element program, very useful and recommend you
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基于遗传算法的图像分割VC源程序，使用了
OpenCV-Genetic Algorithm Based on Image Segmentation VC source code, the use of the OpenCV
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这是一篇文献，题目是：《基于智能遗传算法和Otsu法的多目标图像分割方法》-This is a document entitled: " Genetic Algorithm Based on Intelligent Otsu method and multi-objective method of image segmentation,"
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基于直方图熵法及遗传算法的图像分割，使用MFC界面演示程序-Method based on histogram entropy and genetic algorithm for image segmentation, the use of MFC interface demo
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采用量子遗传算法使其在图像自适应增强中的应用程序-Quantum genetic algorithm used to enhance the image of self-adaptive applications
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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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基于遗传算法的图像边缘检测算法，与Robert算子、bobel算子、prewitt算子、kirsch算子、gauss－laplace算子的结果进行了对比。-Based on genetic algorithm for image edge detection algorithm, with Robert operator, bobel operator, prewitt operator, kirsch operator, gauss-laplace operator of the result
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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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基于L-M算法的BP神经网络分类器 对图像分类有较好的效果-LM algorithm based on BP neural network classifier for image classification has a good effect
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一个遗传算法图像分割程序. 对于图片分割的效果相当理想. -A genetic algorithm for image segmentation procedures. For the image segmentation results reasonably well.
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此程序通过遗传算法(GA)实现灰度图像的分割,遗传算法的计算过程首先是将实际的优化问题编码成符合串,也称码串、染色体。将实际问题的目标函数转变为染色体的适应函数,然后在随机产生的一批初始染色体的基础上,根据各染色体的适应函数值进行繁殖、交叉、变异等遗传操作产生下一代染色体。 -This procedure of genetic algorithm (GA) to achieve gray scale image segmentation, genetic process of the algor
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