Vector seed selection was applied to the aforementioned eigenspace images, or multi- spectral images, to obtain initial seeds. The algorithm of seeded region growing was further adopted to divide the multi-spectral images into many small regions. The algorithm of region merging was employed to merge similar regions as well as to combine smaller regions with the nearest neighboring regions. Finally, all the regions eventually segmented by means of region growing were classified, and the algorithm of K-means clustering was used, in which it was assumed that K=3, to divide the regions into three categories. After the classification was accomplished, the regions.
