搜索资源列表
PSO
- 基于粒子群优化算法（PSO）的类间方差估计（Otsu）
pso
- 基于粒子群算法的（pso）的otsu图像分割算法。
PSO
- pso算法，这个算法对初学者比较适合-pso For beginners are better adapted
PSO_AD
- 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.
otsu
- 基于粒子群算法的（pso）的otsu图像分割算法,效果很好，不可多得哦-Based on particle swarm optimization (pso) of otsu image segmentation algorithm, the effect is very good, rare oh
registration
- 基于互信息的图像配准，使用pso和powell优化算法，GUI界面，proj.m-Based on mutual information image registration, use the pso and powell optimization, GUI interfaces, proj.m
PSO
- 采用粒子群算法和最大类间方差相结合进行图像分割。-Using particle swarm algorithm and Otsu image segmentation combining.
PSOpaper
- PSO 演算法對於機器學習相關的paper-PSO algorithms for machine learning-related paper
Optimization
- Genetic algorithm Beecolony PSO
DeNosingBaseOnXiaoBo
- 一种改进的基于PCNN神经网络和QPSO粒子行为的PSO的图像滤波算法，也可以较好地去除高斯噪声-Improved PCNN-based neural network and PSO behavior QPSO particle image filtering algorithm can also be better to remove Gaussian noise
liziqun
- 粒子群优化算法(的源程序，优化值，对图像分割有很大的帮助。-Particle swarm optimization (PSO) of the source.
2
- 采用速度-位置模型，把优化问题空间转化为随机粒子空间，通过反复迭代寻找最优解，可用于基于pso移动机器人地图创建-Use of speed- location model, the optimization problem space into a random particle space, through repeated iterations to find the optimal solution can be used for mobile robot map building bas
liziqun
- 该代码是由matlab编写的。粒子群是一种快速优化方法。能大量节省计算机运行时间。-The code is written in matlab. PSO is a fast optimization method. It can save computer time.
pso
- 对不同噪声强度的加噪图像，用粒子群优化算法优化结构元素，找到最优结构元素，对图像进行去噪操作，使恢复的图像达到最大峰值信噪比-Noise intensity for different images with noise, using particle swarm optimization algorithm to optimize the structure elements, find the optimal structure element, the image de-noising o
EPF_PSO
- 运用微粒群算法PSO 来进行图像的边缘模板匹配 的matlab程序 函数说明见doc文件-PSO for image template matching
Entropy-and-chaos-based-on-fuzz-Havrda_Charv_t-PSO
- 基于模糊Havrda_Charv_t熵与混沌PSO算法的红外人体图像分割-Entropy and chaos based on fuzzy Havrda_Charv_t PSO algorithm image segmentation of infrared body
PSO-image-segmentation-algorithm
- 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
pso1
- 某些实际问题的优化目标是求所有的局部最优解, 即求解多峰寻优问题, 为了求解多峰优化问题, 提出了改造的微粒 群优化算法. 尽量减少微粒群算法中的全局因素, 从而增大其局部因素, 同时采用变步长方法增加微粒的多样性. 并给出了该算法 的原理和步骤. 仿真实验表明该算法概念清楚, 计算简单, 具有很好的局部寻优特性, 可应用求解于多峰寻优问题. 另外还给出了几 个运算实例和与其它优化算法的比较.-Some of the practical problems the optimizati
FLch6eg1
- 小波算法，在计算式，通过图像对其进行分析估计，可以直观的看到它对函数的时域和频域的改变-Wavelet algorithm, calculation, estimated by image analysis of them, you can visually see that it functions in time domain and frequency domain changes using the compression miu worth PSO
Basic-PSO
- Basic PSO ALGORITHM FOR OPTIMIZATION