title: [Image identification for microscopic structures of Mongolian herbal flowers with invariant moments].
abstract: 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.
authors.affiliation: College of Veterinary Medicine, Inner Mongolia Agriculture University, Huhhot 010018, China.
authors.forename: Surong
authors.initials: S
authors.lastname: Hasi
authors.forename: Guleng
authors.initials: G
authors.lastname: Amu
authors.forename: Luyan
authors.initials: L
authors.lastname: Gao
authors.forename: Shisan
authors.initials: S
authors.lastname: Qi
mesh_terms: D002681:China; D035264:Flowers / Q000648:ultrastructure*; D007091:Image Processing, Computer-Assisted / Q000379:methods; D010363:Pattern Recognition, Automated / Q000379:methods*; D010946:Plants, Medicinal / Q000648:ultrastructure*