| 一种改进的基于边界跟踪的粘连目标分离算法 | |
| 刘相滨 ; 邹北骥 ; 孙家广 ; LIU Xiang-bin ; ZOU Bei-ji ; SUN Jia-guang | |
| 2010-06-09 ; 2010-06-09 | |
| 关键词 | 颗粒图像 粘连 分离算法 边界跟踪 Particle image touched separation algorithm boundary tracing TP391.41 |
| 其他题名 | An Improved Algorithm for Separating Touched Objects Based on Boundary Tracing |
| 中文摘要 | 在颗粒图像的自动分割中,经常遇到颗粒粘连、重叠在一起的现象,需要将它们分离为单个颗粒目标.基于边界跟踪的分离算法能够克服聚堆目标连接处的凹陷比较明显并且/或者在连接处存在灰度局部最小边缘的要求,取得了较好的分离效果.但对于某些中轴方向不是垂直或水平的聚堆目标,分割仍然不理想.为此,提出了一种改进的分离算法,该算法通过自动旋转聚堆目标区域使其中轴方向成垂直或水平来实现这种情况下的分离.实验结果表明该算法进一步提高了分离效果.; In the particle image segmentation,the objects are always touched or overlapped into each other so that it is necessary to separate or split them into single ones.The separation algorithm based on boundary tracing do not need the acute angle and/or the low density contrast at the points where the objects touched and get better separation result.However,for the cluster whose orientation of principal axis is neither horizontal nor vertical,the algorithm does not work.Therefore,an improved separation algorithm is presented in the paper to separate the cluster in this case by rotating the cluster to make its orientation of principal axis horizontal or vertical.The experiment result shows that the algorithm has improved separation efficiency further.; 湖南省自然科学基金资助项目(No.03JJY6025) |
| 语种 | 中文 ; 中文 |
| 内容类型 | 期刊论文 |
| 源URL | [http://hdl.handle.net/123456789/56515]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | 刘相滨,邹北骥,孙家广,等. 一种改进的基于边界跟踪的粘连目标分离算法[J],2010, 2010. |
| APA | 刘相滨,邹北骥,孙家广,LIU Xiang-bin,ZOU Bei-ji,&SUN Jia-guang.(2010).一种改进的基于边界跟踪的粘连目标分离算法.. |
| MLA | 刘相滨,et al."一种改进的基于边界跟踪的粘连目标分离算法".(2010). |
| 个性服务 |
| 查看访问统计 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
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