| 引用本文: | 陆军,王润生.基于尺度空间理论的多门限化技术.[J].国防科技大学学报,1999,21(4):55-58.[点击复制] |
| Lu Jun,Wang Runsheng.Methods of Muti-thresholding Based on Scale Space Theory[J].Journal of National University of Defense Technology,1999,21(4):55-58[点击复制] |
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| 基于尺度空间理论的多门限化技术 |
| 陆军, 王润生 |
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(国防科技大学 ATR 重点实验室 湖南 长沙 410073)
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| 摘要: |
| 本文基于尺度空间理论提出了两种多门限化方法: 第一种新方法先由精到粗求直方图在不同尺度下的表征, 再由粗到精校正定位, 最后由生命期长短来确定门限; 第二种方法首先在一粗尺度上找特征结构, 再由粗到精“聚焦”到最精尺度上获取门限。两方法克服了以往一般门限法的若干缺陷, 不仅定位准确, 而且普适性强。实验证明新方法是令人满意的。 |
| 关键词: 图像分割, 尺度空间, 多门限化 |
| DOI： |
| 投稿日期：1999-01-11 |
| 基金项目: |
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| Methods of Muti-thresholding Based on Scale Space Theory |
| Lu Jun, Wang Runsheng |
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(ATR Lab, NUDT, Changsha, 410073)
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| Abstract: |
| Based on scale space theory, two methods for muti-thresholding are put forth in this paper. One of them consists of three main steps: first, the scale space representations are derived from finer level to coarser level; then, the locations of structures are corrected from coarser level to finer level; finally, the thresholds are derived from the lifetime of structures. The other method finds the structures at a coarser scale, and then focus on finest scale step by step to derive the thresholds. Experiments show that new ways are effective and robust. |
| Keywords: image segmentation, scale space, muti-thresholding |
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