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.
沈项军，汪增福. 一种基于色彩和纹理分析的图像分割算法[J]. 模式识别与人工智能, 2007, 20(2): 241-247.
SHEN XiangJun, WANG ZengFu. An Image Segmentation Algorithm Based on Color and Texture Analysis. , 2007, 20(2): 241-247.
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2007, Vol. 20 
