| 分开合并算法的若干讨论和改进 |
| |
| 引用本文： | 蔡涛,王润生.分开合并算法的若干讨论和改进[J].国防科技大学学报,2000,22(4):76-80. |
| |
| 作者姓名： | 蔡涛 王润生 |
| |
| 作者单位： | 国防科技大学ATR国防科技重点实验室,湖南,长沙,410073 |
| |
| 摘 要： | 分析了分开合并图像区域分割算法中两个影响处理结果正确性的因素 :区域合并顺序和区域合并谓词。针对这两个因素分别提出了改进的方法 ,并给出了具体改进算法。改进算法的实验结果和传统算法结果进行了对比 ,结果表明了改进的有效性。
|
| 关 键 词： | 图像 分割 分开合并 谓词 |
| 收稿时间： | 2000/1/12 0:00:00 |
Some Discussions and Improvements on Split-and-Merge Algorithm |
| |
| CAI Tao and WANG Runsheng.Some Discussions and Improvements on Split-and-Merge Algorithm[J].Journal of National University of Defense Technology,2000,22(4):76-80. |
| |
| Authors: | CAI Tao and WANG Runsheng |
| |
| Institution: | ATR National Key Laboratory, National Univ. of Defense Technology, Changsha 410073, China;ATR National Key Laboratory, National Univ. of Defense Technology, Changsha 410073, China |
| |
| Abstract: | Two factors in the split and merge image region segmentation algorithm that lead to incorrect segmentation, the merge sequence and merge predication, were analyzed. The corresponding improvements were presented, and the improved algorithm was realized. The effectiveness of the improvements was testified by comparing the results of the improved algorithm with the results of the classic algorithm. |
| |
| Keywords: | image segmentation split and merge predication |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《国防科技大学学报》浏览原始摘要信息 |
| 点击此处可从《国防科技大学学报》下载免费的PDF全文 |
