Description: 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," Platform: |
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Author:姚春玲 |
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Description: 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 Platform: |
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Author:孙巍巍 |
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Description: 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 Platform: |
Size: 82944 |
Author:xw |
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Description: 遗传算法是当前许多科学实验领域广泛应用的一种非线性并行算法.本文研究了遗传算法在数字图像的灰度图二值化中的应用 ,提出了一种新的灰度图二值化方法.该方法通过对每个子群体的优化计算和动态改进的适应度函数 ,确定新的分割阈值.实验验证该方法对于噪声干扰的一般质量图像有着良好的效果.-Genetic algorithm is currently widely used in many scientific experiments in the field of a nonlinear parallel algorithm. In this paper, genetic algorithm in the digital gray level image binarization of the application, proposed a new binarization of grayscale method. The method by optimizing each sub-group improved calculation and dynamic fitness function, to identify new segmentation threshold. experimental verification of the method for the general quality of the image noise has a good effect. Platform: |
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Author:wu |
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Description: 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 Ostu method,which applicated the non-linear genetic algorithm(GA) allows us to optimize the process of threshold. And, where possible, to reduce the computation. in order to achieve effectivly and simply image segmentation. Combination SA is to avoid the common phenomenon about premature convergence in genetic algorithm (GA) to achieve a simple and effective image segmentation. Platform: |
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Author:李丽 |
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Description: 基于遗传神经网络的图像分割系统源代码，下载后直接使用-Based on genetic neural network image segmentation system source code, download direct use of Platform: |
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Author: |
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Description: 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 algorithm is first encoded into a practical optimization problems found string, also known as code string, the chromosome. The objective function of the actual problem into the fitness function of chromosomes, then randomly generated based on the number of initial chromosomes, according to the fitness function value of chromosome reproduction, crossover and mutation operation produces the next generation of chromosomes. Platform: |
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Author:马超 |
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Description: 一个很不错的小软件，基于遗传算法的图像阈值分割，C++编写，运行结果满意-A very nice little software, based on genetic algorithm for image segmentation, C++ written, the results satisfactory Platform: |
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Author:加仑 |
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Description: 基于改进遗传算法的图像分割，算法中引入了优生算子、改进的变异算子和新个体,避免了局部早熟,提高了收敛速度和全局收敛能力。 -Based on improved genetic algorithm for image segmentation algorithm is introduced eugenics operator, the improved mutation operator and new individual, to avoid premature local, to improve the convergence speed and global convergence capability. Platform: |
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Author:guixuzhen |
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Description: 图像阈值分割的方法很多，但目前很难找到适用于各种场合的分割方法。本文针对实际情况对几种分割方法进行了分析比较及实验研究。在此基础上引入了遗传算法，加快了算法的收敛速度。最后将一种改进的遗传算法用于优化图像分割，取得了较好的分割效能。-Image Thresholding methods, but it is difficult to find a suitable segmentation method on various occasions. In this paper, the actual situation of several segmentation methods have been compared and Experimental Research. On this basis, the introduction of a genetic algorithm to accelerate the convergence speed. Finally, an improved genetic algorithm for optimization of image segmentation, and achieved good segmentation performance. Platform: |
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Author:xiliao |
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Description: 遗传算法在图像分割中的应用，有在一维和二维最大熵分割中的基本算法的实现及改进后的实现，自己看看吧。-Genetic algorithm in image segmentation, there is at one and two dimensional maximum entropy partitioning in the realization of the basic algorithms and improved to achieve their own look. Platform: |
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Author:sdff |
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Description: 利用遗传算法和基于区域的生长法莱实现图像的分割，突出感兴趣的部分-Using genetic algorithm and region growing method to achieve image segmentation Lay, highlight the interesting part Platform: |
Size: 3072 |
Author:刘芝麻 |
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Search - genetic image segmentation