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Description: 基于ARM的数字图像采集系统的硕士论文-ARM-based Digital Image Acquisition System Master's thesis
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Size: 3482624 |
Author: 韦新峰 |
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Description: 图像配准的很好的程序，里面用到粒子群算法-image registration is a good procedure, which used PSO
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Size: 20480 |
Author: 陈聪 |
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Description: 用量子粒子群算法解决ostu图像分割问题，达到了较好地效果-Quantum PSO ostu image segmentation solution, to achieve a better result
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Size: 2048 |
Author: wang zhang |
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Description: 该PPT描叙了pso在图像处理中的运用，请他家放心下载，无任何病毒-The PPT describes the PSO in the Image Processing application, please rest assured that his home to download, no virus
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Size: 1024 |
Author: 罗伟 |
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Description: 这是一篇基于PSO-BP神经网络的图像压缩算法的文献,有助于初学者学习.-This is based on a PSO-BP neural network image compression algorithm of the literature will help beginners to learn.
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Size: 265216 |
Author: 展琳琳 |
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Description: 基于粒子群算法的（pso）的otsu图像分割算法。-Based on Particle Swarm (pso) image segmentation algorithm of Otsu.
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Size: 1024 |
Author: 王英 |
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Description:
在特征提取阶段，研究了PCA, 2DPCA, (2D) 2PCA, DiagPCA, DiagPCA-F-2DPCA等多
种方法。不同于基于图象向量的PCA特征提取，由于2DPCA, (2D) ZPCA, DiagPCA和
DiagPCA-I-2DPCA的特征提取都直接基于图象矩阵，计算量小，所以特征的提取速度明
显高于PCA方法。-In the feature extraction stage, the study of the PCA, 2DPCA, (2D) 2PCA, DiagPCA, DiagPCA-F-2DPCA and other methods. Vector is different from the PCA-based image feature extraction, as 2DPCA, (2D) ZPCA, DiagPCA and DiagPCA-I-2DPCA the feature extraction are directly based on image matrix, a small amount of calculation, so the speed of feature extraction method was significantly higher than PCA .
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Size: 45056 |
Author: 付采 |
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Description: 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.
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Size: 1802240 |
Author: Tommy |
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Description: LGB图像压缩代码--使用LGB算法训练码本，多次训练直到收敛到一定程度。可以输出量化结果和量化信噪比-LGB image ya suo--the use of the code, many training until convergence to a certain extent. Output can be quantified and quantitative results SNR
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Size: 4096 |
Author: nobbe |
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Description: 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
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Size: 21504 |
Author: 周一一 |
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Description: 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
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Size: 32768 |
Author: 高超 |
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Description: 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 operation to restore the image to a peak signal to noise ratio
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Size: 130048 |
Author: 吴琳珠 |
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Description: 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
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Size: 10240 |
Author: lihao |
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Description: 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
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Size: 662528 |
Author: zixi2000 |
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Description: 一个java编写的粒子群程序，可自行设置多个参数，并有图像跟踪粒子运行状态，已经在Eclipse上测试通过。-A java program written in particle swarm, are free to set multiple parameters, and image tracking particles running, has been tested on Eclipse.
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Size: 45056 |
Author: sunyang |
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Description: 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 with the classical dynamic programming graph search based on Dijkstra' s algorithm to compare Liv e Wire.
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Size: 318464 |
Author: 莉 |
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Description: 提出一种基于粒子群优化算法的图像矢量量化码书设计算法. 该算法引入粒子群的全局搜索策略 , 结合矢量量化码书设计方法 , 增加了算法解的随机性和多样性.-Proposed based on particle swarm optimization algorithm for image vector quantization codebook design algorithm. The introduction of particle swarm algorithm global search strategy, combined with vector quantization codebook design methods, solutions to increase randomness of the algorithm and diversity.
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Size: 289792 |
Author: 小潘 |
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Description: 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
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Size: 8192 |
Author: 焦云雪 |
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Description: PSO image segmentation
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Size: 428032 |
Author: reza Khodabakhshi |
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Description: 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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Size: 1288192 |
Author: wangyawen |
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