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A proposal of imaging analysis method for accurate extraction of capillary areas using HSV model feature

Shin-ichi Shibata et al · Society for Science and Technology · 2020

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Author / responsible party
Shin-ichi Shibata et al
Publisher
Society for Science and Technology
Year
2020
ISSN
2186-4942
ISSN
2186-4942
Language
English

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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.

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APA 7

al, S. I. S. E. (2020). A proposal of imaging analysis method for accurate extraction of capillary areas using HSV model feature. https://doi.org/10.11425/sst.9.17

MLA

al, Shin-ichi Shibata et. "A proposal of imaging analysis method for accurate extraction of capillary areas using HSV model feature." 2020. https://doi.org/10.11425/sst.9.17.

Chicago

al, Shin-ichi Shibata et. 2020. "A proposal of imaging analysis method for accurate extraction of capillary areas using HSV model feature.". https://doi.org/10.11425/sst.9.17.

Harvard

al, S. I. S. E. 2020, A proposal of imaging analysis method for accurate extraction of capillary areas using HSV model feature, Society for Science and Technology, available at: https://doi.org/10.11425/sst.9.17 [Accessed 8 Aug. 2026].

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Title
A proposal of imaging analysis method for accurate extraction of capillary areas using HSV model feature
Author / contributors
Shin-ichi Shibata et al
Publisher
Society for Science and Technology
Publication year
2020
ISSN
2186-4942
ISSN
2186-4942
Language
English

Subjects

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capillary area extraction; median filtering; mask processing; binary processing; svm
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