An Efficient Foot Ulcer Determination System for Diabetic Patients

M. S. Dhanya*
Department of Electronics and Communication Engineering, Vins Christian College of Engineering, Tamil Nadu, India.
Periodicity:December - February'2018
DOI : https://doi.org/10.26634/jpr.4.4.14131

Abstract

Foot ulcers are the common innate mechanism of poorly controlled diabetes, forming as a result of skin tissue
breakdown in the lower leg or feet. When the sugar levels are high in blood for a diabetic patient, a wound may not be
cured so easily because of nerve damage. In this paper, the author has proposed a method to analyze the wounds in
diabetic patients suffering from foot ulcers. Mean Shift algorithm is used to find the maximum density of the wound in the
affected area and Color Clustering technique was also implemented in this system. This color clustering method helps to
classify the affected region in different phases and the wound tissues are shown by various colors like red, yellow, and
blue. The datasets collected from Saraswati Hospital, Parassala in India were used as input and the results provide good
accuracy and high efficiency.

Keywords

Mean Shift Algorithm, Color Clustering Technique, Cluster Index, ROI Detection.

How to Cite this Article?

Dhanya, M. S. (2018). An Efficient Foot Ulcer Determination System for Diabetic Patients. i-manager’s Journal on Pattern Recognition, 4(4), 32-38. https://doi.org/10.26634/jpr.4.4.14131

References

[1]. Arnqvist, J., Hellgren, J., & Vincent, J. (1988, November). Semiautomatic classification of secondary healing ulcers in multispectral images. In Pattern Recognition, 1988, 9th International Conference on (pp. 459-461). IEEE.
[2]. Bortoletto, M. S. S., de Andrade, S. M., Matsuo, T., Haddad, M. D. C. L., González, A. D., & Silva, A. M. R. (2014). Risk factors for foot ulcers - A cross sectional survey from a primary care setting in Brazil. Primary Care Diabetes, 8(1), 71-76.
[3]. Buckley, K. M., Adelson, L. K., & Agazio, J. G. (2009). Reducing the risks of wound consultation: Adding digital images to verbal reports. Journal of Wound Ostomy & Continence Nursing, 36(2), 163-170.
[4]. Cheng, Y. (1995). Mean shift, mode seeking, and clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(8), 790-799.
[5]. Christoudias, C. M., Georgescu, B., & Meer, P. (2002). Synergism in low level vision. In Pattern Recognition, 2002. Proceedings. 16 International Conference on (Vol. 4, pp. 150-155). IEEE.
[6]. Comaniciu, D., & Meer, P. (2002). Mean shift: A robust approach toward feature space analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(5), 603-619.
[7]. Debeir, O., Van Ham, P., Kiss, R., & Decaestecker, C. (2005). Tracking of migrating cells under phase-contrast video microscopy with combined mean-shift processes. IEEE Transactions on Medical Imaging, 24(6), 697-711.
[8]. Molines-Barroso, R. J., Lázaro-Martínez, J. L., Aragón- Sánchez, F. J., Álvaro-Afonso, F. J., García-Morales, E., & García-Álvarez, Y. (2016). Forefoot ulcer risk associated with foot type in patients with diabetes and neuropathy. Diabetes Research and Clinical Practice, 114, 93-98.
[9]. Muselaers, C. H., Boerman, O. C., Oosterwijk, E., Langenhuijsen, J. F., Oyen, W. J., & Mulders, P. F. (2013). Indium-111–labeled girentuximab immuno SPECT as a diagnostic tool in clear cell renal cell carcinoma. European Urology, 63(6), 1101-1106.
[10]. Rees, R. S., & Bashshur, N. (2007). The effects of TeleWound management on use of service and financial outcomes. Telemedicine and e-Health, 13(6), 663-674.
[11]. Tilton, J. C., Tarabalka, Y., Montesano, P. M., & Gofman, E. (2012). Best merge region-growing segmentation with integrated nonadjacent region object aggregation. IEEE Transactions on Geoscience and Remote Sensing, 50(11), 4454-4467.
[12]. Wannous, H., Lucas, Y., Treuillet, S., & Albouy, B. (2008, October). A complete 3D wound assessment tool for accurate tissue classification and measurement. In Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on (pp. 2928-2931). IEEE.

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

If you have access to this article please login to view the article or kindly login to purchase the article
Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.