| 一种基于粗集与FCM结合的图像分割方法 |
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| 引用本文： | 张朝全,刘辉,雷赟.一种基于粗集与FCM结合的图像分割方法[J].南方冶金学院学报,2011,32(1). |
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| 作者姓名： | 张朝全 刘辉 雷赟 |
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| 作者单位： | 张朝全,刘辉,ZHANG Chao-quan,LIU Hui(江西理工大学,理学院,江西,赣州,341000);雷赟,LEI Yun(江西理工大学,现代教育技术及信息中心,江西,赣州,341000) |
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| 基金项目： | 江西省自然科学基金资助项目 |
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| 摘 要： | 传统的FCM 算法在做图像分割时,只是利用图像的每一个像素点的灰度值进行聚类,当图像受到噪声污染时,分割的准确性将大大降低,为此,提出了一种粗集与FCM算法相结合的图像分割方法,实验结果表明,该方法具有良好的分割性能.
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| 关 键 词： | 粗集 图像分割 聚类 |
A Mthod of Image Segmetnation Based on Rough Sets and FCM |
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| ZHANG Chao-quan,LIU Hui,LEI Yun.A Mthod of Image Segmetnation Based on Rough Sets and FCM[J].Journal of Southern Institute of Metallurgy,2011,32(1). |
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| Authors: | ZHANG Chao-quan LIU Hui LEI Yun |
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| Affiliation: | ZHANG Chao-quan~a,LIU Hui~a,LEI Yun~b(a.Faculty of Science,b.Modern Education Technology and Information Center,Jiangxi University of Science and Technology,Ganzhou 341000,China) |
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| Abstract: | The traditional FCM algorithm only takes each pixel's gray value to do with image segmentation.When the image is corrupted by noises,the accuracy of segmentation will be greatly reduced.So,this paper proposes an image segmentation method based on rough sets theory and fuzzy c-mean clustering.The test results show that the method has a good segmentation performance. |
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| Keywords: | FCM |
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