| An improved method of edge detection based on the mean shift algorithm | |
Wei, Laixing; Liu, Bo ; Mou, Jiao
| |
| 2014 | |
| 会议名称 | 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronics Materials and Devices for Sensing and Imaging, AOMATT 2014 |
| 会议日期 | 2014-04-26 |
| 会议地点 | Harbin, China |
| 会议主办者 | Chinese Academy of Sciences, Institute of Optics and Electronics (IOE); Chinese Optical Society (COS) |
| 出版者 | SPIE |
| 产权排序 | 1 |
| 摘要 | This paper proposes an improved method of edge detection based on the mean shift algorithm. A pixel of an image calculated by the mean shift algorithm eventually converges to a peak point of probability density of the image. The pixel which is farther from the peak point has a greater mean shift vector and higher probability to be an edge pixel. The gradient of the mean shift vector of an edge pixel is a local maximum. During the mean shift iterations, the mean shift vector decreases by steps. Therefore, the vector of the first step is representative, while it is unnecessary to calculate each pixel to its convergence. This reduces the amount of computation and promotes the efficiency of the algorithm in a large extent. First, the image is smoothed by the mean shift filter, and the gradient of the mean shift vector is computed. Then, the local maximum is found by using non-maxima suppression on the gradient, which thins the edges detected. Finally, dual-threshold is used to detect and link edges. The edges detected have more accuracy and continuity. Experimental results show that the proposed method outperforms the conventional methods while suppressing noise and preserving edges. |
| 作者部门 | 空间光学技术研究室 |
| 收录类别 | CPCI（ISTP） ; EI |
| 语种 | 英语 |
| ISSN号 | 0277786X |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/22599 |
| 专题 | 空间光学技术研究室 |
| 推荐引用方式 GB/T 7714 | Wei, Laixing,Liu, Bo,Mou, Jiao. An improved method of edge detection based on the mean shift algorithm[C]:SPIE,2014. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| An improved method o（826KB） | 限制开放 | CC BY | 请求全文 | |||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论