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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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遗传算法用于图像处理中，有图像分割，图像特征提取，可以达到很好的效果-Genetic algorithms for image processing, there are image segmentation, image feature extraction, can achieve good results
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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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基于遗传神经网络的图像分割[神经网络实用教程中的实例]-Based on Genetic Neural Network for Image Segmentation [neural network tutorial and practical examples]
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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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该源码是神经网络中常用的遗传算法的代码。遗传算法是最优化常用的解法之一。-The source code is generated gabor operator of the source image characteristics, such as image segmentation can be used.
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使用遗传算法和迭代阈值的方法实现图像分割。-The use of genetic algorithms and iterative threshold method of image segmentation.
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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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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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it is a part of a genetic algorithm applied to image segmentation
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遗传算法实现的阈值分割图像的代码，内附图片，可直接运行-Genetic algorithm for image segmentation code, containing pictures, can be directly run
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应用遗传算法对传统Otsu算法进行优化实现灰度图像的阈值分割。给出了c++的源程序。-Using genetic algorithm Otsu traditional algorithm was used to optimize the realization of gray image threshold segmentation. Given the c++ the source program.
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遗传算法与FCM算法相结合实现图像分割，分割精度较好，速度较快-A combination of genetic algorithm and FCM algorithm to achieve image segmentation, segmentation accuracy is better, faster
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应用遗传算法完成图像处理中的一些功能与应用。-The application of genetic algorithms to complete some of the features in the image processing
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pcnn与遗传算法结合用在图像分割中，非常简单的程序，对于初学者很有帮助，可以运行-PCNN used in image segmentation, a very simple program for beginners to have the help very much, can run
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最佳直方图熵法与改进GA相结合的图像分割方法-The best method of image segmentation histogram entropy method with a combination of improved GA
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COLOR IMAGE SEGMENTATION BASED ON GA HISTOGRAM
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使用二维熵图像阈值分割法和遗传算法对图像进行分割处理-Using two-dimensional entropy image thresholding segmentation and genetic algorithm for image segmentation processing
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利用遗传算法，精准分割细胞图像，准确率高-The use of genetic algorithms, precise image segmentation cell, high accuracy
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otsu最大类间方差法和ga遗传算法相结合实现图像分割(otsu+ga,to acheive image segmentation)
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