| 模糊聚类算法在痕迹图像分割中的应用 |
| |
| 引用本文： | 汪军,王传玉. 模糊聚类算法在痕迹图像分割中的应用[J]. 南通大学学报(自然科学版), 2010, 9(1): 19-23 |
| |
| 作者姓名： | 汪军 王传玉 |
| |
| 作者单位： | 安徽工程科技学院,安徽,芜湖,241000 |
| |
| 基金项目： | 国家自然科学基金专项基金(10826098) |
| |
| 摘 要： | 针对痕迹图像在比对与识别中的预处理要求,以图像像素灰度和邻域信息的二维矢量为聚类样本,以二维直方图确定阈值数,采用对样本进行加权的模糊c均值聚类算法对痕迹图像进行多阈值分割处理.实验结果表明,基于样本加权的模糊聚类算法速度快,对痕迹图像有较好的分割效果.
|
| 关 键 词： | 模糊聚类 痕迹图像 图像分割 阈值 |
Application of Fuzzy Clustering to Mark Image Segmentation |
| |
| WANG Jun,WANG Chuan-yu. Application of Fuzzy Clustering to Mark Image Segmentation[J]. Journal of Nantong University (Natural Science Edition), 2010, 9(1): 19-23 |
| |
| Authors: | WANG Jun WANG Chuan-yu |
| |
| Affiliation: | Anhui University of Technology and Science/a>;Wuhu 241000/a>;China |
| |
| Abstract: | Aiming at the pre-processing requirement of mark image in comparing and distinguishing design, the proposed paper describes a two-dimensional vector with pixel grayscale of image and neighborhood information as cluster sample. The threshold is dependent on two-dimensional histogram. We give a multi-threshold segmentation processing method to mark image using weighted fuzzy c-means clustering algorithm. The results of the experiment show that the weighted fuzzy clustering algorithm based on sample is rapid, ... |
| |
| Keywords: | fuzzy clustering mark image image segmentation threshold |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
