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.
N1 - Publisher Copyright:
© 2023 IEEE.
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.
UR - http://www.scopus.com/inward/record.url?scp=85163059091&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85163059091&partnerID=8YFLogxK
U2 - 10.1109/ICCIKE58312.2023.10131843
DO - 10.1109/ICCIKE58312.2023.10131843
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 -
