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

Surong Hasi; Guleng Amu; Luyan Gao; Shisan Qi

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

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2008 Feb;25(1):146-9.

[Article in Chinese]

Authors

Surong Hasi¹, Guleng Amu, Luyan Gao, Shisan Qi

Affiliation

¹ College of Veterinary Medicine, Inner Mongolia Agriculture University, Huhhot 010018, China.

PMID: 18435278

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.

Publication types

English Abstract
Research Support, Non-U.S. Gov't

MeSH terms

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