Journal of Software:2001.12(5):783-789

(国防科学技术大学 ATR国防科技重点实验室,湖南长沙 410073)
Using Nonlinear Filtering for Multi-Scale Corner Detection
LU Jun,WANG Run sheng
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Received:December 06, 1999    Revised:February 18, 2000
> 中文摘要: 对灰度图进行一般线性和非线性平滑会极大程度地模糊拐角,使得多尺度方法难以用于拐角检测.由于非线性多尺度CB(contour-based)形态滤波算子具有很好的拐角保持特性,而且能使拐角满足单调性,即当尺度增大时拐角数不增加.用CB形态滤波器对灰度图进行滤波,构成CB形态学尺度空间,以实现对拐角的多尺度检测.理论分析和实验结果证明了这种分析方法的有效性.
中文关键词: 非线性尺度空间  拐角  形态滤波
Abstract:General linear and nonlinear smoothing in an intensity image can blur corners seriously, so it's difficult to detect corners by a multi scale approach. But nonlinear multi scale CB (contour-based) morphological filters have a wonderful feature of keeping corners, at the same time it ensures that corners have the feature of monotonicity, which means non creation of new corners when the scale turns larger. Filtering the intensity image by CB morphological filters, the idea of CB morphological scale space is constructed, by which to realize multi-scale corner detection. Theory analysis and experimental results demonstrate the effectiveness of the new way.
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LU Jun,WANG Run sheng.Using Nonlinear Filtering for Multi-Scale Corner Detection.Journal of Software,2001,12(5):783-789