一种基于色彩和纹理分析的图像分割算法

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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 timeconsuming but also segmentation.

Key words： Color Quantization Region Growing Image Segmentation

Received: 09 November 2005

ZTFLH:

TP391.41

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	Articles by authors
	SHEN XiangJun
	WANG ZengFu

Cite this article:

SHEN XiangJun,WANG ZengFu. An Image Segmentation Algorithm Based on Color and Texture Analysis[J]. , 2007, 20(2): 241-247.

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http://manu46.magtech.com.cn/Jweb_prai/EN/ OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2007/V20/I2/241

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