[Image identification for microscopic structures of Mongolian herbal flowers with invariant moments].
Microscopic characteristics of several Mongolian Herbal flowers were extracted by improved Pseudo-Jacobi (p = 4, q = 2)-Fourier Moments (PJFM's), and 368 different versions of 28 microscopic characteristics of these herbs were identified by using the minimum-mean-distance rule. The experimental results showed that the average identification rate reaches as high as 98.1%. Therefore, this study can provide new techniques for digitalization and visualization of microscopic characteristics of Mongolian Herbs.
Hasi
Surong
S
College of Veterinary Medicine, Inner Mongolia Agriculture University, Huhhot 010018, China.
Amu
Guleng
G
Gao
Luyan
L
Qi
Shisan
S
D002681:China; D035264:Flowers / Q000648:ultrastructure*; D007091:Image Processing, Computer-Assisted / Q000379:methods; D010363:Pattern Recognition, Automated / Q000379:methods*; D010946:Plants, Medicinal / Q000648:ultrastructure*