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Diabetic plantar pressure analysis using image fusion

  • Luying Cao
  • Nilanjan Dey
  • Amira S. Ashour
  • Simon Fong
  • R. Simon Sherratt
  • Lijun Wu
  • Fuqian ShiEmail author
Article

Abstract

Plantar 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.

Keywords

Biomedical signal processing Image fusion Plantar pressure sensors Wavelet transforms Gaussian laplace pyramid 

Notes

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of Information and EngineeringWenzhou Medical UniversityWenzhouPeople’s Republic of China
  2. 2.Department of ITTechno India College of TechnologyWest BengalIndia
  3. 3.Department of Electronics and Electrical Communications Engineering, Faculty of EngineeringTanta UniversityTantaEgypt
  4. 4.Department of Computer and Information ScienceUniversity of MacauTaipaChina
  5. 5.Department of Biomedical EngineeringThe University of ReadingReadingUK
  6. 6.Institute of Digitized MedicineWenzhou Medical UniversityWenzhouPeople’s Republic of China

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