Open Access Open Access  Restricted Access Subscription or Fee Access

Identify Areas of Pain in Limb Using Thermal Image Processing and Pattern Recognition

H. Kashanian, T. Ghanavizi, H. Mehmani, A. Najafi


Pain is the most common cause of going to physicians, and the treatment of pain and elimination of its adverse effects, has always been the focus of physicians. In this paper an efficient method is proposed for detection of the pain location in the lower extremities using thermal infrared images. In the following parts, an intelligent method of fuzzy derivation- based image separation and PCA feature extraction, and SVM classification is introduced that automatically separates certain areas of the body that emit a wavelength of pain, in thermal images. Identification and differentiation of muscle pain in lower extremities and location of abnormal metabolism areas are the most important achievements of this method. In this study, a very fast and non-invasive method is proposed to detect the exact location of pain in the lower extremities, which can distinguish muscle aches and soreness from the false pain in these areas.


thermal image, pain, feature extraction, principal components analysis.

Full Text:



  • There are currently no refbacks.

Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.