基于K-means聚类的纺织品印花图像区域分割 |
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引用本文: | 李鹏飞,;张宏伟.基于K-means聚类的纺织品印花图像区域分割[J].西北纺织工学院学报,2008(5):551-554. |
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作者姓名: | 李鹏飞 ;张宏伟 |
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作者单位: | [1]西安工程大学电子信息学院,陕西西安710048 |
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摘 要: | 对纺织品彩色印花图像进行颜色区域分割.将彩色纺织品印花图像转换到CIE L*a*b颜色空间,用K均值聚类分析算法对描述颜色的a*和b*通道进行聚类分析;通过提取各个颜色区域独立成为单色的新图像,对彩色纺织品印花图像进行分割处理.实验结果表明,在CIE L*a*b空间使用K—means聚类算法可以有效地分割彩色纺织品图像的颜色区域.
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关 键 词: | 纺织品印花图像 图像分割 K—means聚类 L*a*b颜色空间 |
Research on segmenting color regions in textile printing image based on K-means clustering |
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Affiliation: | LI Peng-fei, ZHANG Hong-wei (School of Electronics and Information, Xi'an Polytechnic University, Xi'an 710048, China) |
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Abstract: | Image segmentation in textile printing image was realized. The textile printing color image was converted to L * a * b color space. The a * and b * are selected and clustered by K-means clustering algorithm. After extracting each color region and create images that segment the textile printing image by color, the segmentation was realized. The experience result proves that color-based segmentation can distinguish the textile printing image effectively. |
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Keywords: | textile printing image image segmentation K-means clustering L *a *b color space |
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