| HSI颜色模型下基于空间信息的FCM算法 |
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| 引用本文： | 刘英彬,万永菁,徐飞,陈月. HSI颜色模型下基于空间信息的FCM算法[J]. 微计算机信息, 2012, 0(1): 145-147 |
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| 作者姓名： | 刘英彬 万永菁 徐飞 陈月 |
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| 作者单位： | 华东理工大学信息科学与工程学院 |
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| 摘 要： | 针对提花毛皮样片的花型识别技术,在HSI颜色模型下提出了一种基于空间信息的FCM图像分割算法。算法在HSI颜色模型下获得FCM算法的初始聚类中心,并采用了基于空间信息的模糊C均值聚类方法对图像进行分割。经C++编程验证,算法能有效去除花型图像中的噪声,获得较理想的花型识别结果。
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| 关 键 词： | 花型识别 模糊C均值聚类(FCM) 空间信息 HSI颜色模型 |
Fuzzy c-means algorithm based on spatial information under HSI color model |
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| LIU Ying-bin WAN Yong-jing XU Fei CHEN Yue. Fuzzy c-means algorithm based on spatial information under HSI color model[J]. Control & Automation, 2012, 0(1): 145-147 |
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| Authors: | LIU Ying-bin WAN Yong-jing XU Fei CHEN Yue |
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| Affiliation: | LIU Ying-bin WAN Yong-jing XU Fei CHEN Yue(College of Information Science and Engineering,East China University of Science and Technology,Shanghai 200237 China) |
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| Abstract: | Aiming at the problem of pattern recognition of jacquard fur,a fuzzy c-means clustering image segmentation algorithm based on spatial information under HSI color space is proposed.The initial cluster centers of FCM algorithm are obtained under HSI color model,and a fuzzy c-means based on spatial information is used for image segmentation.After the C++ programming,it is indicated the algorithm can effectively removed the image noise of pattern and obtain a ideal pattern recognition. |
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| Keywords: | Pattern recognize Fuzzy c-means clustering(FCM) Spatial information HSI color model |
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