Articles

Image identification for microscopic structures of Mongolian herbal flowers with invariant moments

Author

Hasil S, Amu G, Gao L, Qi S

Journal

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi

Volume

25

Issue ID

1

Page

146-9

Date

2008 February

Keyword

MH  - China
MH  - Flowers/*ultrastructure
MH  - Image Processing, Computer-Assisted/methods
MH  - Pattern Recognition, Automated/*methods
MH  - Plants, Medicinal/*ultrastructure

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.

Language

Chinese