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微粒群(PSO)优化算法进行图像匹配程序,MATLAB版。-Particle swarm optimization (PSO) algorithm for optimized image matching program, MATLAB version.
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为了提高算法的执行效率, 应用粒子群算法求取图像中任意两点间最短路径来定位目标边界, 并与经典的基于Dijkstra 动态规划图搜索的Liv e Wire 算法进行比较.-In order to improve the efficiency of the algorithm, particle swarm algorithm to strike any of images to locate the shortest path between two object boundaries, and
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K means+PSO for Image Segmentation
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使用PSO方法实现图像分割 是两者结合 对初学者很有帮助-PSO method for image segmentation is a combination of both useful for beginners
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基于极大熵准则,通过改进型粒子群算法对图像进行多阈值分割,并与其他分割算法对比。
函数说明:
main函数为主程序,无返回值和参数,可直接运行。运行结果将调用colorSegmentation()函数和PSO()函数-Based on maximum entropy criterion, through improved particle swarm optimization (pso) algorithm for image threshold segmentation, and c
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基于改进 PSO算法的 Otsu快速多阈值图像分割,基于 Renyi 熵与 PSO 算法的图像多级阈值分割-Fast Multilevel Threshold Method for Image Segmentation Based on Improved
Particle Swarm Optimization and Maximal Variance,Image multi-thresholding using Renyi entropy and PSO
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PSO算法应用到图像三阈值分割,评价函数为二维最大熵-PSO algorithm is applied to image three threshold segmentation, the evaluation function for the two-dimensional maximum entropy
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PSO算法应用到图像二阈值分割,评价函数为二维最大熵-PSO algorithm is applied to image two threshold segmentation, the evaluation function for the two-dimensional maximum entropy
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籽子群优化算法优化BP神经网络,使用优化后的神经网络对图像进行分割。包括:籽子群优化算法,籽子的编码,最优权值和阈值的后成,基于籽子群优化算法的神经网络的培训,图像的分割。-The BP neural network optimized by Particle Swarm Optimization algorithm for image segmentation
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对于初学matlab的同学会有帮助,基于人工神经网络的常用数字信号调制,阵列信号处理的高分辨率估计,BP神经网络用于函数拟合与模式识别,基于分段非线性权重值的Pso算法,粒子图像分割及匹配均为自行编制的子例程。- Matlab for beginner students will help, The commonly used digital signal modulation based on artificial neural network, High-resolution array s
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matlab编写的元胞自动机,基于分段非线性权重值的Pso算法,对HARQ系统的吞吐量分析,含噪脉冲信号进行相关检测,采用偏最小二乘法,粒子图像分割及匹配均为自行编制的子例程,用于时频分析算法。-matlab prepared cellular automata, Based on piecewise nonlinear weight value Pso algorithm, HARQ throughput analysis of the system, Noisy pulse correlat
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混沌粒子群算法用于图像分割,程序已调试好,并用多种图像提供使用。分割效果显著。-Chaotic particle swarm optimization algorithm for image segmentation, the program has been debugged, and use a variety of images available. Segmentation effect is remarkable.
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此FCM-PSO是对于FCM的改进,用于图像分割,效果好。(it is an improvement on FCM for image segmentation)
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