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.
Article
Dans Chinois
| 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.
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Sujet Principal:
Médicaments issus de plantes chinoises
/
Analyse discriminante
/
Théorème de Bayes
/
Couleur
/
Médecine traditionnelle chinoise
Type d'étude:
Etude diagnostique
/
Étude pronostique
langue:
Chinois
Texte intégral:
Journal of Biomedical Engineering
Année:
2015
Type:
Article
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