摘要
特征选择是目标识别中的重要问题。对于有着3个参数(m,n,q)的小波矩来说更是如此。基于2类模式的特征选择思想,提出多类模式下绝对可分的特征选择算法,给出图像数值化处理中参数(m,n,q)的合理取值范围。实验结果表明:无论是对差别比较大、差别比较小还是混合型的多类目标,经过此特征提取出来的小波矩都有着较好的识别效果。
Signature selection is very important in the target recognition, especially for the wavelet moment invariants which have three parameters （m, n, q）. The absolute resovable signature selection algorithm under the multi-class mode for target recognition is put forward and the proper range for rn ,n,q values during the image digitalization processing is given, based on the signature selection in two class mode. The experiments show that this method can be successfully used in the recognition of multi-class targets, whether the multi-class targets are different, similar or mixed types.
出处
《应用光学》
CAS
CSCD
2008年第1期5-8,共4页
Journal of Applied Optics
关键词
目标识别
图像处理
不变矩
特征选择
多类目标
target recognition
image processing
moment invariant
signature selection
multiclass target
