聚类分析在岩石图像中的应用研究

Application of Cluster Analysis in Rock Image

岩石组分识别是岩石图像分析中的重要工作之一。该文先提取岩石图像区域颜色特征,再分别使用k均值和模糊C均值两种聚类算法进行聚类,实验表明,通过提取区域颜色特征进行聚类能划分岩石组分,从而为后期的岩石组分识别奠定基础。

Rock components identification is one of the important tasks in rock image analysis.In this paper, we first extract the color characteristics of the rock image areas, and then use the k-means and the fuzzy C-means algorithm to do clusters of the Rock components.The experiment shows that the clustering of the rock components can be divided by the extraction of the regional color features, Which lays the foundation for the identification of rock components in later works.