Early Detection of Diabetic Foot Ulcers by Thermal Images of Foot Soles Using Nearest Neighbor Algorithm

Document Type : Research Paper

Authors

1 Assistant Professor, Department of Electrical Engineering, Nain Branch, Islamic Azad University, Nain, Iran

2 Assistant Professor, Department of General Surgery, Qom University of Medical Sciences, Qom, Iran

3 M.Sc., Islamic Azad University, Najafabad Branch, Isfahan, Iran

Abstract

Diabetes is a disease, which is caused by the cessation of insulin production or the dysfunction of the body. Early detection of diabetic foot ulcers thermal images of the sole of the foot is one of the new methods of diagnosing diabetic foot ulcers. In this paper, by optimizing the nearest neighbor algorithm, early detection of diabetic foot ulcers is performed by comparing the thermal similarity of the left and right soles of the feet. And the condition of the possibility of foot ulcer is diagnosed. In the proposed solution, by removing additional areas and creating a temperature image of the soles of the feet, using image matching techniques and then extracting statistical features such as standard distribution, percentage of dissimilar pixels and average temperature of the soles of the feet, early diagnosis of the ulcer condition is attempted. To evaluate the proposed method, 74 images of gray surfaces were used, in which the image of the left and right soles of the feet is specified in the image, and along with the images, there is a file in which the class of each image is specified. The information file also contains the minimum and maximum temperatures in the image to create a thermal image. Therefore, the above problem is a 3-class classification problem in which 75% of the images are used for training and 25% for testing. We have used thermal images by cross-validation method, which we have achieved with a total accuracy of 85.14%.

Keywords

References

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medical journal of mashhad university of medical sciences
Volume 66, Issue 2
July and August 2023
Pages 150-156

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