A fast segmentation approach for multi-band remote—sensing images was proposed.First

remote—sensing images were quantized.Second

local homogeneity gradient images were produced based on quantization results.Third

a fast watershed transform was applied to gradient images to perform initial segmentation.Finally

an efficient region merging approach was implemented to obtain final segmentation results.To validate the proposed approach

experiments on Quickbird images were performed

and segmentation evaluations were conducted.Evaluation results indicated that the proposed approach was a suitable one for segmenting remote—sensing images

which is better than the Multiresolution segmentation approach with respect to segmentation speed and accuracy.