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Diabetic plantar pressure analysis using image fusion

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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.

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Authors and Affiliations

  1. College of Information and Engineering, Wenzhou Medical University, Wenzhou, 325035, People’s Republic of China

    Luying Cao & Fuqian Shi

  2. Department of IT, Techno India College of Technology, West Bengal, 740000, India

    Nilanjan Dey

  3. Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Tanta, 31527, Egypt

    Amira S. Ashour

  4. Department of Computer and Information Science, University of Macau, Av. Padre Tomas Pereira, Taipa, Macau SAR, China

    Simon Fong

  5. Department of Biomedical Engineering, The University of Reading, Reading, RG6 6AY, UK

    R. Simon Sherratt

  6. Institute of Digitized Medicine, Wenzhou Medical University, Wenzhou, 325035, People’s Republic of China

    Lijun Wu

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  1. Luying Cao
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  2. Nilanjan Dey
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  3. Amira S. Ashour
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  4. Simon Fong
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  6. Lijun Wu
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  7. Fuqian Shi
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Correspondence to Fuqian Shi.

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This work is partial supported by Zhejiang Provincial Natural Science Foundation under Grant (LY17F030014), the National Natural Science Foundation of China (Grant nos: 81271663 and 31471146), Zhejiang Wenzhou Medical University Scientific Development Foundation of China (Grant no: QTJ06012).

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Cao, L., Dey, N., Ashour, A.S. et al. Diabetic plantar pressure analysis using image fusion. Multimed Tools Appl 79, 11213–11236 (2020). https://doi.org/10.1007/s11042-018-6269-x

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  • DOI: https://doi.org/10.1007/s11042-018-6269-x

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