非监督分类程序，MATLAB环境，采用K均值算法，通过初始聚类中心逐次迭代而得到所要分类，并输出分类后的图像。-Non-supervised classification procedures, MATLAB environment, using K-means algorithm, the initial cluster center through successive iterations to be classified, and the output classification im

实现图像的分割。改程序是在matlab环境下运行的，程序中用到了k-means算法，实现的结果很不错-This is the program of image segmentation based on the following work: S. Chen, L. Cao, J. Liu, and X. Tang, "Image Segmentation by MAP-ML Estimations", submitted to IEEE Transactions on Image P

基于K均值的PSO聚类算法,包括压缩比、运行时间和计算复原图像的峰值信噪比,现代信号处理中谱估计在matlab中的使用。- K-means clustering algorithm based on the PSO, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Modern signal processing used in the spectral

图像的光流法计算的matlab程序,非常适合计算机视觉方面的研究使用,基于K均值的PSO聚类算法。- Image optical flow calculation matlab program, Very suitable for the study using computer vision, K-means clustering algorithm based on the PSO.