| 基于颜色空间和优化初始中心的模糊c均值聚类算法 |
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| 引用本文： | 王婷婷,侯德文.基于颜色空间和优化初始中心的模糊c均值聚类算法[J].山东师范大学学报(自然科学版),2013(3):30-33. |
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| 作者姓名： | 王婷婷 侯德文 |
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| 作者单位： | 山东师范大学信息科学与工程学院,济南250014 |
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| 摘 要： | 提出了一种基于HIS空间的优化初始中心的模糊c-均值的彩色图像分割方法．首先将彩色图片由RGB转换为HIS，并将H和1分开处理，通过计算样本的权重，选取有代表性的样本作为初始聚类中心，给出优化初始聚类中心的FCM算法，将该算法应用于H和I通道，得出新的基于颜色空间的FCM算法．该算法可以得到较稳定的结果，并且提高了聚类的准确率．
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| 关 键 词： | 颜色空间 聚类中心 模糊c-均值聚类 权重 |
FUZZY c MEANS CLUSTERING ALGORITHM FOR COLOR SPACE AND OPTIMIZED INITIAL CENTER |
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| Wang Tingting Hou Dewen.FUZZY c MEANS CLUSTERING ALGORITHM FOR COLOR SPACE AND OPTIMIZED INITIAL CENTER[J].Journal of Shandong Normal University(Natural Science),2013(3):30-33. |
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| Authors: | Wang Tingting Hou Dewen |
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| Institution: | Wang Tingting Hou Dewen ( School of Information science and Engineering, Shandong Normal University, 250014 ,Jinan, China ) |
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| Abstract: | A color image segmentation method to optimize the initial center in HIS color space based on the fuzzy C - mean. Firstly, the color image is transformed to HIS from RGB, and the H and I component is separated. By computing samples＇ weight, the representative samples are selected as the initial cluster center. Then the FCM algorithm based on the optimize initial center is gotten. The application of this algorithm in H and I component obtains a new algorithm FCM based on color space. This algorithm can obtain more stable resuhs, and improves the accuracy of clustering. |
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| Keywords: | color space The clustering center Fuzzy C -means clustering Weight |
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