搜索资源列表
K-Means
- K均值聚类算法 C++实现的K均值聚类算法。-K means clustering algorithm C++ Achieved K-means clustering algorithm.
texture-gabor
- gabor提取纹理特征，k-means方法无监督聚类进行图像分割-extract texture feature, cluster by k-means
gabork-means
- 该方法采用gabor提取纹理特征，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
gabor_main
- 纹理图像的分割，使用k-means分割，代码主要介绍了特征的提取，具体的参数设定-Texture image segmentation, the use of k-means segmentation, the code describes the feature extraction, the specific parameter settings
Cloud-detection-
- 首先使用灰度共生矩阵提取图像纹理特征，之后使用灰度共生矩阵的熵值与相关性系数作为纹理参数，用k-means聚类算法实现遥感图像的云检测-First of all, the gray co-occurrence matrix is used to extract the image texture features, then the entropy and correlation coefficients of the GLCM are
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- 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)