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基于尺度空间理论的多门限化技术
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.
作者姓名:陆军  王润生
作者单位:国防科技大学ATR重点实验室!长沙410073
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
收稿时间:1999/1/11 0:00:00

Methods of Muti-thresholding Based on Scale Space Theory
Lu Jun and Wang Runsheng.Methods of Muti-thresholding Based on Scale Space Theory[J].Journal of National University of Defense Technology,1999,21(4):55-58.
Authors:Lu Jun and Wang Runsheng
Institution:ATR Lab, NUDT, Changsha, 410073;ATR Lab, NUDT, Changsha, 410073
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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