Analysis of Heel Fissure Therapy using Thermal Imaging and Image Processing









Abstract

Heel fissures are a common foot condition that causes discomfort, pain and may lead to lower confidence levels. Hence people suffering from heel fissures generally seek some therapy for relief. Several methods of treatment are available for cracked heels. In this study, we have applied a traditional method of treating heel fissures, by soaking the feet in a warm water bath along with a few ingredients to smooth the skin. Thermal images of the heels were acquired and analyzed to determine whether there is a significant difference in the temperature of the heel fissures before and after therapy. Further, we applied image processing techniques for feature extractions and analysis. It was observed that there is a 2.2% decrease in the average temperature of the left heel, whereas in the right heel there is a 2.6% decrease in the average temperature. Hence, thermal imaging was used as a potential tool in the diagnosis of cracked heels and was found to be applicable for evaluation of the heel therapy process.


Modules


Algorithms


Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL