Data reduction by sample clustering for fuzzy segmentation of multispectral images

摘要

Summarization of multiple images into a single color display is a familiar visualization technique for multispectral images. In this paper, we present one of such techniques based on fuzzy segmentation of multispectral images. For speeding up segmentation, we devise a sample clustering method where data size is reduced by clustering of randomly sampled data.