Abstract A fast image segmentation algorithm based on seed region growing is proposed. Firstly, the algorithm represents an input color image by color quantization. Then, the seed regions are selected from the quantized image with windows of different sizes according to the distribution of the quantized color labels. Finally, both of the color and the texture features are used to fulfill the image segmentation quickly by seed region growing based operation. The experimental results show that the proposed algorithm has good performance in not only timeconsuming but also segmentation.
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2007, Vol. 20 
