Image segmentation by combining the global and local properties
文献类型：期刊论文
| 作者 | Wang ZZ(王振洲)
|
| 刊名 | Expert Systems with Applications
 |
| 出版日期 | 2017 |
| 卷号 | 87页码:30-40 |
| 关键词 | Segmentation Histogram Gibbs distribution Slope difference distribution |
| ISSN号 | 0957-4174 |
| 产权排序 | 1 |
| 通讯作者 | Wang ZZ(王振洲) |
| 中文摘要 | Image segmentation plays a fundamental role in many computer vision applications. It is challenging because of the vast variety of images involved and the diverse segmentation requirements in different applications. As a result, it remains an open problem after so many years of study by researchers all over the world. In this paper, we propose to segment the image by combing its global and local properties. The global properties of the image are characterized by the mean values of different pixel classes and the continuous boundary of the object or region. The local properties are characterized by the interactions of neighboring pixels and the image edge. The proposed approach consists of four basic parts corresponding to the global or local property of the image respectively: (1) The slope difference distribution that is used to compute the global mean values of different pixel classes; (2) Energy minimization to remove inhomogeneity based on Gibbs distribution that complies with local interactions of neighboring pixels; (3) The Canny operator that is used to detect the local edge of the object or the region; (4) The polynomial spline that is used to smooth the boundary of the object or the region. These four basic parts are applied one by one and each of them is indispensable for the achieved high accuracy. A large variety of images are used to validate the proposed approach and the results are favorable. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science |
| 研究领域[WOS] | Computer Science ; Engineering ; Operations Research & Management Science |
| 关键词[WOS] | NOISE ESTIMATION ; ACTIVE CONTOURS ; RANDOM-FIELDS ; ALGORITHMS ; CUTS |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000407183900003 |
| 源URL | [http://ir.sia.cn/handle/173321/20754]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 作者单位 | State Key Lab of Robotics, Shenyang Institute of Automation, Chinese Academy of Science (CAS), Shenyang, China |
| 推荐引用方式 GB/T 7714 | Wang ZZ. Image segmentation by combining the global and local properties[J]. Expert Systems with Applications,2017,87:30-40. |
| APA | Wang ZZ.(2017).Image segmentation by combining the global and local properties.Expert Systems with Applications,87,30-40. |
| MLA | Wang ZZ."Image segmentation by combining the global and local properties".Expert Systems with Applications 87(2017):30-40. |
入库方式： OAI收割
来源：沈阳自动化研究所
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