Image identification for microscopic structures of Mongolian herbal flowers with invariant moments / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 146-149, 2008.
Article
in Chinese
| WPRIM
| ID: wpr-291279
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Plants, Medicinal
/
Image Processing, Computer-Assisted
/
Pattern Recognition, Automated
/
China
/
Flowers
/
Methods
Type of study:
Diagnostic study
/
Prognostic study
Country/Region as subject:
Asia
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2008
Type:
Article
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