摘要
为了解决形状描述的Ｒｏｂｕｓｔｎｅｓｓ问题，本文提出了一种高阶形态谱，与通常形态谱不同的是，高阶谱与两个具有不同尺寸因子的交替序列形态变换（ａｌｔｅｒｎａｔｉｎｇｓｅｑｕｅｎｔｉａｌｍｏｒｐｈｏｌｏｇｉｃａｌｔｒａｎｓｆｏｒｍａｔｉｏｎ）结果相关，文中证明了在一定条件下，高阶谱的高阶因子与噪声的存在是无关的，计算结果亦已很好地证明了这一点。
To deal with the robustness of shape desciption,this paper proposes the high order morphological pattern spectrum which relies upon the difference between two different sized alternating sequential morphological transformations on the original image.It is proved that the higher order components of HP spectrum for a noisy image are exactly identical to these for the noise-free image under certain conditions.Also,the results of the experiments have been shown that the HP spectrum shows the strongest robustness.
出处
《电子学报》
EI
CAS
CSCD
北大核心
1996年第7期54-58,共5页
Acta Electronica Sinica
基金
国家自然科学基金
关键词
形状描述
形状识别
形态谱
信号处理
Shape description,Shape recognition,Morphological pattern spectrum
