搜索资源列表
peizhun
- 图像配准－GUI界面，最优化算法，互信息尺度，POWELL.m附属子程序，PSO.m附属子程序，对图像进行“平移”和“旋转”-Image Registration - GUI interface, optimization algorithms, mutual information scale, POWELL.m subsidiary subroutine, PSO.m subsidiary subroutine, the right image "translation"
txpz
- 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
imagepeizhun
- GUI界面，proj.m 图片选择窗口，testListBoxlj.m 最优化算法,PSO.m,POWELL.m 互信息尺度,MI.m,EMI.m,RMI.m,HiMI.m,GMI.m,FPMI.m POWELL.m附属子程序oneDimSearch.m PSO.m附属子程序myMI.m 配准结果检验程序restore.m gobad.m对图像进行“平移”和“旋转” -GUI interface proj.m Photo selection window, testListBoxlj.m opt
qpsooustrar
- 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
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
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- 一个简单的图像稀疏分解的例子，用了PSO分解，得到了一个较好的重构图像-A simple example of image sparse decomposition, using the MP decomposition and get a better reconstruction images
1
- 一个简单的图像稀疏分解的例子，用了PSO—GA分解，得到了一个较好的重构图像-A simple example of image sparse decomposition, using PSO-GA decomposition and get a better reconstruction images
3
- 一个简单的图像稀疏分解的例子，用了PSO—OMP分解，得到了一个较好的重构图像-A simple example of image sparse decomposition, using PSO-OMP decomposition and get a better reconstruction images
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- 一个简单的图像稀疏分解的例子，用了PSO—ICA分解，得到了一个较好的重构图像-A simple example of image sparse decomposition, using PSO-ICA decomposition and get a better reconstruction images
MOPSO
- 用pso算法实现图像分割,着重突出灰度图像的前景和背景的分割-using pso to implement the segregstion of image
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
SVD-based-watermarking
- 基于SVD的DCT域和DWT域的经典水印算法，该算法通过提取水印水印的主成分并把该主成分嵌入到奇异值矩阵，鲁邦性非常高。-the principal components of the watermark are embedded into the host image in discrete cosine transform (DCT) and for the second method, those are embedded into the host image in discrete
Bppssopcnna
- 一种基于粒子群优化算法(PSO)确定参数的脉冲欧与神经网络滤波方法。。运用粒子群优化算法(PSO)确定pcnn图像滤波参数，对图像进行滤波 -Pulse Europe and the neural network filtering method based on particle swarm optimization (PSO) to determine the parameters. . Particle swarm optimization (PSO) to determine the
PSO_Segmentation
- 利用PSO对图像进行分割，直接可以用。在程序中使用类结构，将PSO进行封装。方便后续研究。-PSO to image segmentation, can be used directly. Class structure used in the program, the PSO encapsulation. To facilitate follow-up studies.
Optimization-Algorithm
- 摘 要 为了实现快速精确的图像配准， 提出了基于改进粒子群优化算法的互信息图像配准方法， 以互信息作为图像配准的相似性测度， 使用改进的 PSO 算法来求解配准所需的空间变换参数 改进的粒子群算法引入组织的概念把整个种群划分为多个子群体共同进化， 并引入变异运算减少算法陷入局部最优 把改进的粒子群优化算法应用到医学图像配准领域上来， 实验结果表明， 算法能够得到比较满意的配准结果-Abstract In order to realize the fast precise image regist
Test
- K means+PSO for Image Segmentation
LIPSO
- 粒子群优化算法与侧抑制结合用于图像匹配 PSO algorithm based on lateral inhibition for image matching-PSO algorithm based on lateral inhibition for image matching
sanweipso
- 解决了三维粒子群问题，并且用图像显示出来，十分容易看懂-PSO to solve the three-dimensional problem, and the image display, very easy to understand
colorSegmentation
- 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
codaa
- The PSO clustering algorithm has as objective to simultaneously minimize the quantization error and intra-cluster distances