| 一种基于EM算法的图像分割改进技术 |
| |
| 引用本文： | 吴建国,彭源.一种基于EM算法的图像分割改进技术[J].数字社区&智能家居,2009,5(5):3508-3510. |
| |
| 作者姓名： | 吴建国 彭源 |
| |
| 作者单位： | [1]同济大学软件工程学院,上海200092 [2]上海电力学院计算机与信息工程学院,上海200090 |
| |
| 基金项目： | 上海高校选拔培养优秀青年教师科研专项基金（Z-2008-14） |
| |
| 摘 要： | 图像分割是计算机视觉的基础，该文结合EM算法和PCA降维技术，给出了一种有效快速的进行图象分割的方法。该方法利用高斯混合模型对原始图像进行建模，通过EM算法将分割问题转化为参数最大似然估计的问题，同时采用PCA降维技术和随机采样来降低计算量。通过人工合成图象及真实图象的实际测试结果，验证了该算法的有效性和快速性。
|
| 关 键 词： | EM算法 图像分割 特征提取 |
A Modified Method of Image Segmentation Based on EM Algorithm |
| |
| WU Jian-Guo,PENG Yuan.A Modified Method of Image Segmentation Based on EM Algorithm[J].Digital Community & Smart Home,2009,5(5):3508-3510. |
| |
| Authors: | WU Jian-Guo PENG Yuan |
| |
| Affiliation: | 1 .School of Software Engineering, Tongji University, Shanghai 200092, China; 2.Department of Computer and Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China) |
| |
| Abstract: | Image Segmentation is an elementary problem in computer vision. In this paper, an efficiently method of image segmentation was proposed by using EM algorithm and PCA dimensionality reduction algorithm. Firstly a gaussian mixture model（GMM） is employed to modeling the image, and then get GMM＇s parameters by using EM ,In order to reduce complexity, Some methods for reduce feature dimensionality and data points is used. Experiments results on natural images and composite images show that the method is effective |
| |
| Keywords: | EM algorithm image segmentation feature extraction |
| 本文献已被 维普 等数据库收录！ |
