搜索资源列表
KMEANS(matlab)
- Matlab环境下的k-means聚类算法，实现图像分割，很快阿！-K-means Clustering arithmetic based on Matlab platform.It s fast for Image-Division!
K-Means
- 用于图像处理，K-MEANS聚类实现图像的分割和识别，是一种重要的图像处理方法-For image processing, K-MEANS Clustering achieve image segmentation and recognition, is an important image processing method
imagesegment
- 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
clustering-algorithm
- 聚类算法有很多种，该程序是基于K-均值聚类算法，主要用于图像的分割-There are many clustering algorithms, the program is based on the K-means clustering algorithm, mainly used for image segmentation
Twenliie
- 基于纹理的图像分割的Matlab源代代码,应用小波和K均值聚类-matlab -Texture-based image segmentation Matlab source generation of code, the application of wavelet and K-means clustering-matlab
means
- 本附件中是关于K-means阈值分割的代码，主要用于图像分割领域-it is k-means image processing code
libsvm
- 利用libsvm进行图像分割，其结果比k-means以及fcm都要好一点-libsvm to image segmentation
avaknate
- 用K-MEANS算法进行图像的分割,并且有详细的语句注释-With K- MEANS algorithm for image segmentation, and a detailed statement annotations
K-means
- 使用k-means算法对图像进行分割，并利用遗传算法对k-means算法加以改进(The k-means algorithm is used for the segment of images, and the genetic algorithm is used to improve the k-means algorithm)
1
- 该方法采用gabor提取出图像纹理特征，最后采用k-means方法聚类进行图像分割(The method uses gabor texture features extraction, and finally using k-means clustering methods for image segmentation)
julie
- 基于K-means聚类算法的图像区域分割的程序实现(Cluster the function image.)