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Description: 基于内容的图像检索，博士毕业学位论文，搞这方面的可以-content-based image retrieval, Dr. graduate thesis and engage in this area can s
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Size: 7600128 |
Author: cailei |
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Description: 基于粒子群优化算法(PSO)确定参数的脉冲欧和神经网络滤波方法。利用粒子群优化算法(PSO)确定pcnn图像滤波参数，对图像进行滤波-Based on Particle Swarm Optimization (PSO) to determine the parameters of the pulse in Europe and neural network filtering method. The use of particle swarm optimization (PSO) to determine PCNN parameters of image filtering, image filtering
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Size: 1024 |
Author: 叶开 |
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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: 357376 |
Author: 罗伟 |
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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: 这是一个常用的基于Fcm的图像分割源程序，希望对大家有用-This is a commonly used image segmentation based on FCm source, in the hope that useful to everybody
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Size: 1024 |
Author: 郑伟 |
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Description: ICP是用来匹配两组未知点，可以用于图像处理等方面，速度快，但需要选择好初始参数-ICP is used to match two sets of unknown points can be used in areas such as image processing speed, but need to select a good initial parameters
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Size: 20480 |
Author: aa |
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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: 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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Size: 1024 |
Author: Alexshao |
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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: 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 AND THE WAVELET HAS SOME ERRORS IN COMPUTE THE DE-NOISING
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Size: 1214464 |
Author: same |
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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: 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: In this paper, a multimodal image fusion algorithm based on multiresolution
transform and particle swarm optimization (PSO) is proposed.
Firstly, the source images are decomposed into low-frequency coefficients and
high-frequency coefficients by the dual-tree complex wavelet transform
(DTCWT). Then, the high-frequency coefficients are fused by the maximum selection
fusion rule. The low-frequency coefficients are fused by weighted average
method based on regions, and the weights are estimated by the PSO to gain
optimal fused images. Finally, the fused image is reconstructed by the inverse
DTCWT. The experiments demonstrate that the proposed image fusion method
can illustrate better performance than the methods based on the DTCWT, the
support value transform (SVT), and the nonsubsampled contourlet transform
(NSCT).
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Size: 40960 |
Author: ishwarya |
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Description: 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.
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Size: 2968576 |
Author: 高明亮 |
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Description: 实现了 SVM 在医学图像分类中的应用，通过医学图像的实验结果验证了该方法的有效性。
对 SVM 算法进行了深入研究，结合量子行为的粒子群算法的优点，提出了一种量子行为的粒子群算法和 SVM 结合的混合分类模型，应用于医学图像的分类中。
深入研究了 K-means 算法，结合了无监督聚类和监督分类方法的优点，提出了一种 K-means 和 SVM 结合的混合分类模型，并应用于医学图像的分类中。
利用粒子群和量子行为的粒子群算法对 K-means 算法进行了改进，并将改进的K-means 算法与 SVM 算法结合形成全自动分类模型，并且把它应用于医学图像的分类中。
-SVM in the classification of medical image applications, medical images through the experimental results verify the effectiveness of the method. SVM algorithm conducted in-depth research, combined with the quantum behavior of the advantages of particle swarm optimization, PSO and SVM combined behavior of a quantum mixed classification model, applied to medical image classification. In-depth study of the K-means algorithm combines the advantages of unsupervised clustering and supervised classification method, propose a hybrid combination of a K-means and SVM classification model, and applied to the classification of medical images. Improved particle swarm algorithm using particle swarm and quantum behavior of the K-means algorithm, and improved K-means algorithm and SVM algorithm combined with the formation of a fully automatic classification model, and apply it to medical image classification.
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Size: 1626112 |
Author: 招伟杰 |
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Description: 基于反向学习的PSO，在图像阈值分割中的应用-Reverse learning PSO-based application in image segmentation threshold
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Size: 2048 |
Author: 虾皮 |
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Description: PSO在图像匹配中的应用，根据模版图像在源图像中找到所在的位置-The application of PSO in image matching, we find the location in the source image according to the template image.
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Size: 1024 |
Author: zangwj |
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