Image Feature Extraction and Discriminant Analysis of Xinjiang Uygur Medicine Based on Color Histogram / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 588-593, 2015.
Artigo
em Chinês
| WPRIM
| ID: wpr-359602
ABSTRACT
Image feature extraction is an important part of image processing and it is an important field of research and application of image processing technology. Uygur medicine is one of Chinese traditional medicine and researchers pay more attention to it. But large amounts of Uygur medicine data have not been fully utilized. In this study, we extracted the image color histogram feature of herbal and zooid medicine of Xinjiang Uygur. First, we did preprocessing, including image color enhancement, size normalizition and color space transformation. Then we extracted color histogram feature and analyzed them with statistical method. And finally, we evaluated the classification ability of features by Bayes discriminant analysis. Experimental results showed that high accuracy for Uygur medicine image classification was obtained by using color histogram feature. This study would have a certain help for the content-based medical image retrieval for Xinjiang Uygur medicine.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Medicamentos de Ervas Chinesas
/
Análise Discriminante
/
Teorema de Bayes
/
Cor
/
Medicina Tradicional Chinesa
Tipo de estudo:
Estudo diagnóstico
/
Estudo prognóstico
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2015
Tipo de documento:
Artigo
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