| 基于三维直方图加权的模糊聚类图像分割方法 |
| |
| 引用本文： | 原小平,杨明.基于三维直方图加权的模糊聚类图像分割方法[J].电脑开发与应用,2010,23(5):18-20. |
| |
| 作者姓名： | 原小平 杨明 |
| |
| 作者单位： | 中北大学理学院,太原,030051 |
| |
| 基金项目： | 国家自然科学基金资助项目(60772102);;山西省自然科学基金资助项目(2007012003) |
| |
| 摘 要： | 标准的FCM算法对大数据样本集进行聚类时极为耗时,而且对噪声比较敏感。针对其缺点,提出了一种基于三维直方图加权的模糊聚类图像分割方法,该方法考虑了图像像素点的灰度信息和邻域的均值信息及中值信息,其次考虑了样本空间中不同的样本点对分类的贡献不同。实验结果表明,该算法满足了图像分割有效性和实时性的需求。
|
| 关 键 词： | FCM算法 WFCM算法 三维直方图 图像分割 |
Weighted Fuzzy Clustering Method based on Three-dimensional Histogram for Image Segmentation |
| |
| Yuan Xiaoping et al.Weighted Fuzzy Clustering Method based on Three-dimensional Histogram for Image Segmentation[J].Computer Development & Applications,2010,23(5):18-20. |
| |
| Authors: | Yuan Xiaoping |
| |
| Abstract: | The standard FCM algorithm is not only extremely time-consuming for clustering large data set,but also more sensitive to noise.For its shortcomings,this paper presents a weighted fuzzy clustering method based on three-dimensional histogram for image segmentation,which considers the gray-scale information of the pixels and the average and median value of the neighboring regions,and gives different classified contribution to the different samples.The experimental results show that the algorithm can effectivel... |
| |
| Keywords: | FCM Algorithm WFCM Algorithm 3D histogram image segmentation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
