搜索资源列表
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
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.
otsu
- 基于粒子群算法的（pso）的otsu图像分割算法,效果很好，不可多得哦-Based on particle swarm optimization (pso) of otsu image segmentation algorithm, the effect is very good, rare oh
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,
PSO
- 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.
Entropy-and-chaos-based-on-fuzz-Havrda_Charv_t-PSO
- 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
segmentation
- its a code for segmentation using PSO
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
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
segmentation-pso
- IMAGE Segmantation Using PSO
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.
Test
- K means+PSO for Image Segmentation
PSO-and-segment
- 使用PSO方法实现图像分割 是两者结合 对初学者很有帮助-PSO method for image segmentation is a combination of both useful for beginners
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
PSO-BP-image-segmentation
- 籽子群优化算法优化BP神经网络，使用优化后的神经网络对图像进行分割。包括：籽子群优化算法，籽子的编码，最优权值和阈值的后成，基于籽子群优化算法的神经网络的培训，图像的分割。-The BP neural network optimized by Particle Swarm Optimization algorithm for image segmentation
pso
- 基于一维otsu图像分割的pso优化算法-One dimensional Otsu PSO optimization algorithm based on image segmentation
PSO
- PSO image segmentation
PSO-image-segment
- 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.
PSO_kapur
- PSO-Kapur based Image segmentation
pso
- 将基本粒子群用于阈值灰度图像分割，同时给出多种适应度函数(PSO is applied to threshold gray image segmentation, and a variety of fitness functions are given.)