搜索资源列表
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.
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
peizhun
- 图象配准源程序一， GUI界面，proj.m 图片选择窗口，testListBoxlj.m 二,最优化算法 PSO.m POWELL.m 三，互信息尺度 MI.m EMI.m RMI.m HiMI.m GMI.m FPMI.m 四，POWELL.m附属子程序 oneDimSearch.m 五，PSO.m附属子程序 myMI.m 六，配准结果检验程序 restore.m 七， gob
BasedonprincipalcomponentanalysisoftheFaceRecognit
- 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,
peizhun
- Matlab实现的图像配准程序，运用互信息，PSO等进行了优化。 -Matlab to achieve image registration procedures, the use of mutual information, PSO, etc. were optimized.
pso-image
- 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
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
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
WAVELET_WORK
- THIS MATLAB CODE REDUCE THE SPECKLE NOISE IN SAR IMAGE, IT USE WAVELET FILTER THEN USED CASCADE THREE FILTERS IN TIME DOMAIN (HYBRID TIME AND FREQUENCY DOMAIN). THIS CODE NEED SOME MODIFICATIONS SINCE THERE ARE SOME PROBLEMS LIKE BY COMPUTE PSNR
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
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
segmentation
- 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
BG-PSO
- 使用Matlab实现对图像的压缩，使用的是BG变换，压缩效果很好-Use Matlab for image compression , using a BG transform, compression works well
vsbganbh
- 使用高阶累积量对MPSK信号进行调制识别，使用matlab实现智能预测控制算法，在MATLAB中求图像纹理特征，使用拉亚普诺夫指数的公式，信号处理中的旋转不变子空间法，基于分段非线性权重值的Pso算法。-Using high-order cumulants of MPSK signal modulation recognition, Use matlab intelligent predictive control algorithm, In the MATLAB image texture f
khdnrquq
- 部分实现了追踪测速迭代松弛算法，虚拟力的无线传感网络覆盖，包括最小二乘法、SVM、神经网络、1_k近邻法,LCMV优化设计阵列处理信号，在MATLAB中求图像纹理特征，基于分段非线性权重值的Pso算法。- Partially achieved tracking speed iterative relaxation algorithm, Virtual power wireless sensor network coverage, Including the least squares metho
qibktfea
- 基于分段非线性权重值的Pso算法，时间序列数据分析中的梅林变换工具，在MATLAB中求图像纹理特征，虚拟力的无线传感网络覆盖，采用热核构造权重，进行波形数据分析。- Based on piecewise nonlinear weight value Pso algorithm, Time series data analysis Mellin transform tool, In the MATLAB image texture feature, Virtual power wireless s
fcykfgng
- 应用小区域方差对比，程序简单，基于分段非线性权重值的Pso算法，车牌识别定位程序的部分功能，在MATLAB中求图像纹理特征，有信道编码，调制，信道估计等。- Application of small area variance comparison, simple procedures, Based on piecewise nonlinear weight value Pso algorithm, Part of the license plate recognition locator fe
jnyyuwts
- 研究生时的现代信号处理的作业，在MATLAB中求图像纹理特征，基于分段非线性权重值的Pso算法，最大信噪比的独立分量分析算法，快速扩展随机生成树算法。- Modern signal processing jobs when the graduate, In the MATLAB image texture feature, Based on piecewise nonlinear weight value Pso algorithm, SNR largest independent compon
Simple PSO
- image registration for pso algorithm -enhancement