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2下载：
三维Otsu算法，图像分割，利用粒子群优化算法进行加速。-Three-dimensional Otsu algorithm, image segmentation, particle swarm optimization algorithm accelerated.
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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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多阈值图像分类的粒子群优化算法，采用自然方法来提高优化速度和计算量-Multi-threshold image classification of the particle swarm optimization algorithm, using natural methods to improve the optimization speed and computation
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基于互信息的图像配准源码，优化算法使用粒子群算法-Based on Mutual Information Image Registration code, optimizing the use of particle swarm optimization algorithm
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基于互信息的图像配准算法，优化算法采用Powell和粒子群向结合的算法-Based on mutual information image registration algorithm, using Powell optimization algorithm and particle swarm algorithm to combine
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基于粒子群算法和区域互信息的图像配准，区域互信息比传统互信息具有更好的鲁棒性-Based on Particle Swarm Optimization and regional mutual information image registration, regional mutual information than the traditional mutual information has better robustness
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自适应粒子群优化算法及其在图像分割中的应用 优秀硕士论文！-Adaptive Particle Swarm Optimization Algorithm and Its Application in Image Segmentation outstanding master thesis!
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5个matlab程序，分别是图像匹配，角点检测，粒子群优化等-5 matlab process, namely, image matching, corner detection, particle swarm optimization, etc.
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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
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改进的粒子群对图像的codebook快速矢量最优化-Improved the image of the codebook particle swarm optimization Fast Vector
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用粒子群算法实现图像匹配，图像可以自己更换，建议先用matlab自带图像进行调试-Particle Swarm Optimization with image matching, image Can you change, it is recommended to use own images debug matlab
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二维粒子群算法测试程序，matlab编写，非常适合于图像处理-Two-dimensional particle swarm optimization test program Matlab prepared, very suitable for image processing
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基于Particle Swarm Optimization的图像分割算法matlab源代码.-matlab source code of a PSO based image segmentation algorithm
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内含实验图片及粒子群算法，常规算法，进行图像配准(Image registration with experimental images and particle swarm optimization (PSO), conventional algorithm, image registration)
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