Informatics Publishing Limited

Vinit Kumar Gunjan ¹, Fahimuddin Shaik ², Allam Appa Rao ³, Amita Kashyap ⁴, Jagan Mohan ²

Affiliations
1 Department of Computer Science and Engineering, Annamacharya Institute of Technology and Sciences, New Boyanapalli, Rajampet–516126, Kadapa, Andhra Pradesh, IN
2 Department of Electronics and Communication Engineering, Annamacharya Institute of Technology and Sciences, New Boyanapalli, Rajampet–516126, Kadapa, Andhra Pradesh, IN
3 C. R. Rao Advanced Institute of Mathematics, Statistics and Computer Science (AIMSCS),University of Hyderabad Campus, Central University Post Office, Hyderabad – 500 046, Telangana, IN
4 Department of Science and Technology (DST), Government of India, Hyderabad, Telangana State, IN

Abstract

Objectives: Diabetes is a major public health problem and mainly affects the eyes, the kidney and the foot. This work focuses on diabetic foot to device new strategies for early diagnosis of diabetic foot in hospitals from the analysis of thermal images. Method/Statistical Analysis: In the presence of a triggering factor, it may lead to ulceration and subsequent amputation. In many cases, development of diabetic foot disorders can be avoided or substantially delayed with adequate treatments that are provided at an early stage. Most of the people who are with Diabetes have some form of nerve damage. Apart from this Hyperthermia it is also a challenging issue in diabetes correlated to foot these days. A new algorithm called Global Region Based Chan-vese Algorithm is proposed to analyze the underlying problems present in acquired images. Findings: A pre-processing technique as well as a post-processing technique of image processing methods will be used for the development of the frame work which will be useful for easy analysis and as well as an education tool for layman. Improvements/Applications: In this approach The segmentation boundary is represented implicitly with a level set function, but in previously employed methods the initial curve can be placed anywhere in the image.

Keywords

Diabetes, Enhancement, Foot Ulcer, Hyperthermia, Segmentation.

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