Detection of plantar pressure distribution in Type 2 Diabetes Mellitus using RGB modelling and foot scan report

Mehewish Musheer Sheikh; Mamatha Balachandra; V. G. Narendra; Arun G. Maiya

doi:10.1109/ICCIKE58312.2023.10131843

Detection of plantar pressure distribution in Type 2 Diabetes Mellitus using RGB modelling and foot scan report

Mehewish Musheer Sheikh^*
, Mamatha Balachandra
, V. G. Narendra
, Arun G. Maiya

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In the realm of biomechanics, there is now general agreement that plantar pressure should be studied. This study aims to identify color in a two-dimensional image using the RGB color model and the color thresholding approach in MATLAB and to identify redness in the foot using plantar pressure analysis. The technique used for the detection of color in the image is to convert a two-dimensional RGB image into red, green and blue color from the original image, these are eliminated to form the binary image and then connect objects with fewer pixels resulting in a new binary image, then the image processing techniques are applied to smooth the border, fill in any holes in the region and finally mask to red object to mask out the red-only portion of the RGB image. The RGB values for every pixel in the image are also checked in order to identify the color of each pixel. MATLAB's image processing toolbox is used to implement the approach.

Original language	English
Title of host publication	Proceedings of 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023
Editors	Anand Kumar, Ved Prakash Mishra, Vishal Naranje, Apurv Yadav
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	69-73
Number of pages	5
ISBN (Electronic)	9798350338263
DOIs	https://doi.org/10.1109/ICCIKE58312.2023.10131843
Publication status	Published - 2023
Event	3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023 - Dubai, United Arab Emirates Duration: 09-03-2023 → 10-03-2023

Publication series

Name	Proceedings of 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023

Conference

Conference	3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023
Country/Territory	United Arab Emirates
City	Dubai
Period	09-03-23 → 10-03-23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Science Applications
Decision Sciences (miscellaneous)
Safety, Risk, Reliability and Quality

Access to Document

10.1109/ICCIKE58312.2023.10131843

Cite this

Sheikh, M. M., Balachandra, M., Narendra, V. G., & Maiya, A. G. (2023). Detection of plantar pressure distribution in Type 2 Diabetes Mellitus using RGB modelling and foot scan report. In A. Kumar, V. P. Mishra, V. Naranje, & A. Yadav (Eds.), Proceedings of 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023 (pp. 69-73). (Proceedings of 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCIKE58312.2023.10131843

Sheikh, Mehewish Musheer ; Balachandra, Mamatha ; Narendra, V. G. et al. / Detection of plantar pressure distribution in Type 2 Diabetes Mellitus using RGB modelling and foot scan report. Proceedings of 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023. editor / Anand Kumar ; Ved Prakash Mishra ; Vishal Naranje ; Apurv Yadav. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 69-73 (Proceedings of 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023).

@inproceedings{1979ccff668548778e3134e28207cbf1,

title = "Detection of plantar pressure distribution in Type 2 Diabetes Mellitus using RGB modelling and foot scan report",

abstract = "In the realm of biomechanics, there is now general agreement that plantar pressure should be studied. This study aims to identify color in a two-dimensional image using the RGB color model and the color thresholding approach in MATLAB and to identify redness in the foot using plantar pressure analysis. The technique used for the detection of color in the image is to convert a two-dimensional RGB image into red, green and blue color from the original image, these are eliminated to form the binary image and then connect objects with fewer pixels resulting in a new binary image, then the image processing techniques are applied to smooth the border, fill in any holes in the region and finally mask to red object to mask out the red-only portion of the RGB image. The RGB values for every pixel in the image are also checked in order to identify the color of each pixel. MATLAB's image processing toolbox is used to implement the approach.",

author = "Sheikh, \{Mehewish Musheer\} and Mamatha Balachandra and Narendra, \{V. G.\} and Maiya, \{Arun G.\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023 ; Conference date: 09-03-2023 Through 10-03-2023",

year = "2023",

doi = "10.1109/ICCIKE58312.2023.10131843",

language = "English",

series = "Proceedings of 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "69--73",

editor = "Anand Kumar and Mishra, \{Ved Prakash\} and Vishal Naranje and Apurv Yadav",

booktitle = "Proceedings of 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023",

address = "United States",

}

Sheikh, MM, Balachandra, M , Narendra, VG & Maiya, AG 2023, Detection of plantar pressure distribution in Type 2 Diabetes Mellitus using RGB modelling and foot scan report. in A Kumar, VP Mishra, V Naranje & A Yadav (eds), Proceedings of 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023. Proceedings of 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023, Institute of Electrical and Electronics Engineers Inc., pp. 69-73, 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023, Dubai, United Arab Emirates, 09-03-23. https://doi.org/10.1109/ICCIKE58312.2023.10131843

Detection of plantar pressure distribution in Type 2 Diabetes Mellitus using RGB modelling and foot scan report. / Sheikh, Mehewish Musheer; Balachandra, Mamatha ; Narendra, V. G. et al.
Proceedings of 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023. ed. / Anand Kumar; Ved Prakash Mishra; Vishal Naranje; Apurv Yadav. Institute of Electrical and Electronics Engineers Inc., 2023. p. 69-73 (Proceedings of 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Detection of plantar pressure distribution in Type 2 Diabetes Mellitus using RGB modelling and foot scan report

AU - Sheikh, Mehewish Musheer

AU - Balachandra, Mamatha

AU - Narendra, V. G.

AU - Maiya, Arun G.

PY - 2023

Y1 - 2023

N2 - In the realm of biomechanics, there is now general agreement that plantar pressure should be studied. This study aims to identify color in a two-dimensional image using the RGB color model and the color thresholding approach in MATLAB and to identify redness in the foot using plantar pressure analysis. The technique used for the detection of color in the image is to convert a two-dimensional RGB image into red, green and blue color from the original image, these are eliminated to form the binary image and then connect objects with fewer pixels resulting in a new binary image, then the image processing techniques are applied to smooth the border, fill in any holes in the region and finally mask to red object to mask out the red-only portion of the RGB image. The RGB values for every pixel in the image are also checked in order to identify the color of each pixel. MATLAB's image processing toolbox is used to implement the approach.

AB - In the realm of biomechanics, there is now general agreement that plantar pressure should be studied. This study aims to identify color in a two-dimensional image using the RGB color model and the color thresholding approach in MATLAB and to identify redness in the foot using plantar pressure analysis. The technique used for the detection of color in the image is to convert a two-dimensional RGB image into red, green and blue color from the original image, these are eliminated to form the binary image and then connect objects with fewer pixels resulting in a new binary image, then the image processing techniques are applied to smooth the border, fill in any holes in the region and finally mask to red object to mask out the red-only portion of the RGB image. The RGB values for every pixel in the image are also checked in order to identify the color of each pixel. MATLAB's image processing toolbox is used to implement the approach.

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M3 - Conference contribution

AN - SCOPUS:85163059091

T3 - Proceedings of 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023

SP - 69

EP - 73

BT - Proceedings of 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023

A2 - Kumar, Anand

A2 - Mishra, Ved Prakash

A2 - Naranje, Vishal

A2 - Yadav, Apurv

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023

Y2 - 9 March 2023 through 10 March 2023

ER -

Sheikh MM, Balachandra M , Narendra VG , Maiya AG. Detection of plantar pressure distribution in Type 2 Diabetes Mellitus using RGB modelling and foot scan report. In Kumar A, Mishra VP, Naranje V, Yadav A, editors, Proceedings of 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 69-73. (Proceedings of 3rd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2023). doi: 10.1109/ICCIKE58312.2023.10131843

Detection of plantar pressure distribution in Type 2 Diabetes Mellitus using RGB modelling and foot scan report

Abstract

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UN SDGs

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