A new intelligent method for minerals segmentation in thin sections based on a novel incremental color clustering
An intelligent method for minerals segmentation in thin sections is proposed. We use an incremental color clustering algorithm. Our method works well in both thin sections with and without altered minerals. We create a full automatic and real time segmentation map. Our method can be applied in the NASA's Mars explorers.
thin sections intelligent mineral segmentation incremental learning rgb and hsi color features image processing