科学・技術研究
Online ISSN : 2187-1590
Print ISSN : 2186-4942
ISSN-L : 2187-1590
原著
A proposal of imaging analysis method for accurate extraction of capillary areas using HSV model feature
Shin-ichi ShibataHiroto KurokawaToshihiko ShimauchiHaruhiko Kimura
著者情報
ジャーナル オープンアクセス

2020 年 9 巻 1 号 p. 17-24

詳細
抄録
Purpose of this study is to develop a method for accurate capillary area extraction from a captured image using RGB and HSV features. Experiments were conducted with eleven subjects. The proposed method utilizing OpenCV platform produced clearer capillary images compared to the original images: with capillary information, without capillary information, images with halation, images with black dots. SVM classification of capillary image with acquired numeric features of G, H, S and V values yielded over 90 % accuracy. The results have shown the effectiveness of the proposed method.
著者関連情報
© 2020 Society for Science and Technology

この記事はクリエイティブ・コモンズ [表示 - 非営利 - 改変禁止 4.0 国際]ライセンスの下に提供されています。
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.ja
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