| 基于加权模糊C均值聚类的图像分割算法 |
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| 引用本文： | 沙秀艳,何友. 基于加权模糊C均值聚类的图像分割算法[J]. 海军航空工程学院学报, 2007, 22(3): 333-336 |
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| 作者姓名： | 沙秀艳 何友 |
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| 作者单位： | 海军航空工程学院,电子信息工程系,山东,烟台,264001;鲁东大学数学与信息学院,山东,烟台,264025;海军航空工程学院,电子信息工程系,山东,烟台,264001 |
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| 基金项目： | 总装备部武器装备预研基金项目(51407010303JB1402) |
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| 摘 要： | 模糊C均值(FCM)算法用于灰度图像分割是一种非监督模糊聚类后再标定的过程,适合灰度图像中存在着模糊和不确定性的特点。但是这种算法存在着本质上的缺陷,就是仅利用了图像的灰度信息,而没有考虑像素的空间信息,使得其对于实际的含有噪声的图像分割效果不理想。因此,提出了一种新的加权模糊C均值聚类算法,实践证明,该方法可以有效地、实时地把目标从背景中分割出来,并具有较强的鲁棒性。
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| 关 键 词： | 图像分割 模糊C均值聚类 二维直方图 |
| 文章编号： | 1673-1522(2007)03-0333-04 |
| 修稿时间： | 2006-07-19 |
Image Segmentation Algorithm Based on Weighted Fuzzy C-means Clustering |
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| SHA Xiu-yan and HE You. Image Segmentation Algorithm Based on Weighted Fuzzy C-means Clustering[J]. Journal of Naval Aeronautical Engineering Institute, 2007, 22(3): 333-336 |
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| Authors: | SHA Xiu-yan and HE You |
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| Affiliation: | Department of Electronic and Information Engineering,NAEI,Yantai Shandong 264001,China;School of Mathematics and Information,Ludong University,Yantai Shandong 264025,China and Department of Electronic and Information Engineering,NAEI,Yantai Shandong 264001,China |
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| Abstract: | It is a procedure of the label following an unsupervised fuzzy clustering that fuzzy C-means (FCM) algorithm is applied for gray image segmentation, and it suits for the uncertain and ambiguous characters in gray image. However, there is essential defect in the algorithm, for example, it only uses its gray distribution and no spatial information. The effect of image segmentation is not ideal for practical picture containing the noise. So a new weighed fuzzy C-means clustering method is introduced. The experimental result demonstrates that this scheme can segment effectively and real-timely the target from its background and it has much more robustness. |
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| Keywords: | image segmentation fuzzy C-means clustering two-dimensional histogram |
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