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
zuidayuzhifenge
- 基于组织的粒子群优化的最大类间方差阈值图像分割
leijianfangchafenge
- 基于组织的粒子群优化的最大类间方差图像多阈值分割
pso
- 基于粒子群算法的（pso）的otsu图像分割算法。
3Otsu
- 三维Otsu算法，图像分割，利用粒子群优化算法进行加速。-Three-dimensional Otsu algorithm, image segmentation, particle swarm optimization algorithm accelerated.
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
apso
- 自适应粒子群优化算法及其在图像分割中的应用 优秀硕士论文！-Adaptive Particle Swarm Optimization Algorithm and Its Application in Image Segmentation outstanding master thesis!
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.
NPSA
- 小生境粒子群算法例子，对学习粒子群算法及很好的理解该算法非常有用-Examples of niche PSO, particle swarm optimization algorithm for learning and a good understanding of the algorithm is very useful! ! !
liziqun
- 粒子群优化算法(的源程序，优化值，对图像分割有很大的帮助。-Particle swarm optimization (PSO) of the source.
zhifen
- 阈值分割。基于二维直方图及混沌粒子群的图像分割方法-Thresholding. Based on two-dimensional histogram and chaotic particle swarm methods for image segmentation
tuxiang
- 利用克隆选择和粒子群算法实现图像分割 有很好的分割效果。经过多次验证实践。-Clonal selection and particle swarm algorithm has a good image segmentation segmentation. After several rounds of verification practice.
liziqun
- 利用粒子群算法做的关于基于指数熵对数熵TSALLIS熵的多阈值的图像分割，内附无优化算法，可以做时间比较-Using particle swarm optimization to do on the entropy-based index of the number of entropy TSALLIS entropy of multi-threshold image segmentation, containing no optimization, can do more time
efefe322323
- 基于粒子群优化的图像分割算法，希望对大家有帮助-Particle swarm optimization based image segmentation algorithm, we want to help
pso_threshold-segmentation
- 图像阈值分割，为确定图像分割的最佳阈值，基于粒子群优化算法提出了一种多阈值图像分割方法-Image segmentation, image segmentation to determine the optimal threshold value, based on particle swarm optimization algorithm proposes a multi-threshold image segmentation
liziqun20110513
- 基于粒子群的图像阈值化分割的研究及应用，是一篇学习粒子群算法及应用的学位论文！-PSO-based thresholding of images and its application, is a learning and application of particle swarm dissertation!
pso_segment
- 粒子群优化(PSO)算法是一类随机全局优化技术，它通过粒子间的相互作用发现复杂搜索空间中的最优区域缩短寻找阈值的时间。因此，基于粒子群优化算法的图像分割以粒子群优化算法为寻优工具，建立具有自适应和鲁棒性的分割方法。从而可以在最短的时间内，准确地确定分割阈值。(Particle swarm optimization (PSO) algorithm is a kind of stochastic global optimization technique. It can find the optim
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.)
模糊粒子群FuzzyPSO
- 此FCM-PSO是对于FCM的改进，用于图像分割，效果好。(it is an improvement on FCM for image segmentation)
binary PSO图像处理
- 二进制粒子群算法优化红外图像分割，亲测可用