| 基于HSI空间的模糊C均值彩色图像分割方法 |
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| 引用本文： | 高丽,令晓明.基于HSI空间的模糊C均值彩色图像分割方法[J].兰州铁道学院学报,2009,28(4):94-96. |
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| 作者姓名： | 高丽 令晓明 |
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| 作者单位： | 高丽(兰州交通大学电子与信息工程学院,甘肃兰州,730070);令晓明(兰州交通大学光电技术与智能控制教育部重点实验室,甘肃兰州,730070) |
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| 摘 要： | 给出了一种在HSI空间上基于模糊C均值的彩色图像分割方法．首先对每个像素根据H分量和I分量计算出4个隶属度，然后将其中的两个隶属度结合形成一个二雏特征矢量来表征像素的全部颜色特征，最后对二维矢量运用模糊C均值聚类算法得到最终的彩色图像分割结果．
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| 关 键 词： | 色调 亮度 模糊C均值 彩色图像分割 |
A New Method of Fuzzy C-Mean Color Image Segmentation Based on HSI |
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| Institution: | GAO Li , LING Xiao-ming (1. School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lartzhou 730070, China; 2. Key Laboratory of Opto-eleetronic Technology and Intelligent Control, Lanzhou Jiaotong University, Ministry of Education, Lanzhou 730070, China) |
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| Abstract: | A new method of color image segmentation based on fuzzy C-means in HSI space is proposed m this paper. First each pixel＇s four grades of membership are given according to H component and I component. Then two grades of membership are combined to form a two-dimensional feature vector to represent the overall color feature. Lastly, the fuzzy C-means algorithm is applied to get final segmentation results of color images. |
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| Keywords: | hue intensity fuzzy C-mean（FCM） color image segmentation |
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