科研成果详情

题名Histogram of Oriented Gradient Based Plantar Pressure Image Feature Extraction and Classification Employing Fuzzy Support Vector Machine
作者
发表日期2018-05
发表期刊JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS   影响因子和分区
语种英语
原始文献类型Article
关键词Artificial Intelligence Machine Learning Algorithms Fuzzy Logic Image Mining Health Care
其他关键词SHOE ; SVM ; SEGMENTATION ; GAIT ; WALKING ; COLOR
摘要To identify and design comfortable footwear for patients with diabetic conditions (e.g., high blood pressure), an experimental design was proposed to collect plantar pressure data-set using an RSscan sensor system. The data-set acquired by the pressure sensor was reformed into images to allow for image analysis technologies to be applied. In this paper, image features were extracted including color of Hue-Saturation-Value (HSV), gray difference based features (mean, entropy and auto-correlation function), gray-level co-occurrence matrix based features (energy and correlation) and Histogram of Oriented Gradient (HOG). The features were normalized into a high dimensional vector applied to a Fuzzy Support Vector Machine (FSVM), and finally, the FSVM was trained and used for prediction of diabetic plantar pressure images. Normal features and HOG were compared in different classifiers including SVM, LSVM and FSVM. HOG with normal features of image for FSVM performed with a higher accuracy classification effectiveness (84.3%) than the current state of the art. The proposed methods have clear applications in revealing the key zone of foot plantar of diabetics and offer a new direction in producing comfortable diabetic footwear.
资助项目Zhejiang Provincial Natural Science Fund [L Y17F030014]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [81271663, 31471146]; Zhejiang Wenzhou Medical University Scientific Development Foundation of China [QTJ06012]
出版者AMER SCIENTIFIC PUBLISHERS
出版地VALENCIA
ISSN2156-7018
EISSN2156-7026
卷号8期号:4页码:842-854
DOI10.1166/jmihi.2018.2310
页数13
WOS类目Mathematical & Computational Biology ; Radiology, Nuclear Medicine & Medical Imaging
WOS研究方向Mathematical & Computational Biology ; Radiology, Nuclear Medicine & Medical Imaging
WOS记录号WOS:000433168800034
收录类别SCIE
通讯作者地址[Shi, Fuqian]Wenzhou Med Univ, Coll Informat & Engn, Wenzhou 325035, Peoples R China.
引用统计
被引频次:21[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://kms.wmu.edu.cn/handle/3ETUA0LF/20266
专题数字化医学与智能技术研究院
温州医科大学
通讯作者Shi, Fuqian
作者单位
1.Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China;
2.Tianjin Vocat Coll Mech & Elect, Tianjin 300350, Peoples R China;
3.Tianjin Univ, Sch Elect Engn & Automat, Tianjin Key Lab Proc Measurement & Control, Tianjin 300072, Peoples R China;
4.Wenzhou Vocat & Tech Coll, Wenzhou 325035, Peoples R China;
5.Techno India Coll Technol, Dept IT, Kolkata 740000, W Bengal, India;
6.Tianjin Saixiang Technol Co Ltd, Tianjin 300384, Peoples R China;
7.Tanta Univ, Fac Engn, Dept Elect & Elect Commun Engn, Tanta 31527, Egypt;
8.Univ Macau, Dept Comp & Informat Sci, Data Analyt & Collaborat Comp Lab, Taipa 999078, Macau, Peoples R China;
9.Univ Reading, Dept Biomed Engn, Reading RG6 6AY, Berks, England;
10.Wenzhou Med Univ, Inst Digitized Med, Wenzhou 325035, Peoples R China;
11.Wenzhou Med Univ, Coll Informat & Engn, Wenzhou 325035, Peoples R China
通讯作者单位温州医科大学
推荐引用方式
GB/T 7714
Wang, Cunlei,Li, Zairan,Dey, Nilanjan,et al. Histogram of Oriented Gradient Based Plantar Pressure Image Feature Extraction and Classification Employing Fuzzy Support Vector Machine[J]. JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS,2018,8(4):842-854.
APA Wang, Cunlei., Li, Zairan., Dey, Nilanjan., Li, Zhaochun., Ashour, Amira S.., ... & Shi, Fuqian. (2018). Histogram of Oriented Gradient Based Plantar Pressure Image Feature Extraction and Classification Employing Fuzzy Support Vector Machine. JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 8(4), 842-854.
MLA Wang, Cunlei,et al."Histogram of Oriented Gradient Based Plantar Pressure Image Feature Extraction and Classification Employing Fuzzy Support Vector Machine".JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS 8.4(2018):842-854.

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