An assessment method of tongue image quality in Traditional Chinese Medicine - 文章详情页

作者：

Zhang, Xiang (Zhang, Xiang.) | Zhang, Xinfeng (Zhang, Xinfeng.) | Wang, Bo Chao (Wang, Bo Chao.) | Hu, Guangqin (Hu, Guangqin.)

收录：

EI Scopus

摘要：

In　the　paper,　we　present　a　method　for　evaluating　the　quality　of　tongue　images　in　Traditional　Chinese　Medicine　(TCM).　First,　we　preprocess　the　original　images　to　segment　the　tongue　images.　Second,　geometric　features,　texture　features　and　spectral　entropy　features　and　spatial　entropy　features　based　on　Spatial-Spectral　Entropy-based　Quality　(SSEQ)　index　of　tongue　images　are　extracted　respectively　to　form　17　dimensional　feature　vector　for　the　tongue　image　quality　assessment.　Finally,　Support　vector　machine　(SVM)　model　is　used　to　classify　the　samples.　The　experimental　result　shows　that　our　method　has　a　better　effect　on　the　tongue　image　quality　assessment　for　the　objectification　of　tongue　diagnosis.　©　2016　IEEE.

关键词：

Biomedical engineering Diagnosis Entropy Feature extraction Image quality Image segmentation Spectrum analysis Support vector machines Textures

作者机构：

[ 1 ] [Zhang, Xiang]College of Electronic and Control Engineering, Beijing University of Technology, Beijing, China
[ 2 ] [Zhang, Xiang]Engineering Research Center of Digital Community, Ministry of Education, Beijing; 100124, China
[ 3 ] [Zhang, Xinfeng]College of Electronic and Control Engineering, Beijing University of Technology, Beijing, China
[ 4 ] [Zhang, Xinfeng]Engineering Research Center of Digital Community, Ministry of Education, Beijing; 100124, China
[ 5 ] [Wang, Bo Chao]College of Electronic and Control Engineering, Beijing University of Technology, Beijing, China
[ 6 ] [Wang, Bo Chao]Engineering Research Center of Digital Community, Ministry of Education, Beijing; 100124, China
[ 7 ] [Hu, Guangqin]College of Electronic and Control Engineering, Beijing University of Technology, Beijing, China

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