Diabetic plantar pressure analysis using image fusion
Cao,Luying1; Dey,Nilanjan2; Ashour,Amira S.3; Fong,Simon4; Sherratt,R. Simon5; Wu,Lijun6; Shi,Fuqian1
Source PublicationMultimedia Tools and Applications
AbstractPlantar pressure images analysis is the key issue of designing comfortable shoe products through last customizing system, which has attracted the researchers’ curiosity toward image fusion as an application of medical and industrial imaging. In the current work, image fusion has been applied using wavelet transform and compared with Laplace Pyramid. Using image fusion rules of Mean-Max, we presented a plantar pressure image fusion method employing haar wavelet transform. It was compared in different composition layers with the Laplace pyramid transform. The experimental studies deployed the haar, db2, sym4, coif2, and bior5.5 wavelet basis functions for image fusion under decomposition layers of 3, 4, and 5. Evaluation metrics were measured in the case of the different layer number of wavelet decomposition to determine the best decomposition level and to evaluate the fused image quality using with different wavelet functions. The best wavelet basis function and decomposition layers were selected through the analysis and the evaluation measurements. This study established that haar wavelet transform with five decomposition levels on plantar pressure image achieved superior performance of 89.2817% mean, 89.4913% standard deviation, 5.4196 average gradient, 14.3364 spatial frequency, 5.9323 information entropy and 0.2206 cross entropy.
KeywordBiomedical signal processing Gaussian laplace pyramid Image fusion Plantar pressure sensors Wavelet transforms
URLView the original
Fulltext Access
Citation statistics
Cited Times [WOS]:3   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorShi,Fuqian
Affiliation1.College of Information and Engineering,Wenzhou Medical University,Wenzhou,325035,China
2.Department of IT,Techno India College of Technology,West Bengal,740000,India
3.Department of Electronics and Electrical Communications Engineering,Faculty of Engineering,Tanta University,Tanta,31527,Egypt
4.Department of Computer and Information Science,University of Macau,Taipa,Av. Padre Tomas Pereira,China
5.Department of Biomedical Engineering,The University of Reading,Reading,RG6 6AY,United Kingdom
6.Institute of Digitized Medicine,Wenzhou Medical University,Wenzhou,325035,China
Recommended Citation
GB/T 7714
Cao,Luying,Dey,Nilanjan,Ashour,Amira S.,et al. Diabetic plantar pressure analysis using image fusion[J]. Multimedia Tools and Applications,2020,79(15-16):11213-11236.
APA Cao,Luying,Dey,Nilanjan,Ashour,Amira S.,Fong,Simon,Sherratt,R. Simon,Wu,Lijun,&Shi,Fuqian.(2020).Diabetic plantar pressure analysis using image fusion.Multimedia Tools and Applications,79(15-16),11213-11236.
MLA Cao,Luying,et al."Diabetic plantar pressure analysis using image fusion".Multimedia Tools and Applications 79.15-16(2020):11213-11236.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Cao,Luying]'s Articles
[Dey,Nilanjan]'s Articles
[Ashour,Amira S.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Cao,Luying]'s Articles
[Dey,Nilanjan]'s Articles
[Ashour,Amira S.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Cao,Luying]'s Articles
[Dey,Nilanjan]'s Articles
[Ashour,Amira S.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.