Qualitative measures of breast thermograms towards abnormality prediction

Reported reviews in the existing literature reveals that there is no significant work on the quality of thermal medical images. In the present scope, we briefed an overview on the quality measures of thermograms that should consider during processing and analysis of thermal medical images. Our analysis shows the effect of image qualities on the processing of breast thermograms using correlation coefficient of feature vectors. Features of left and right breast should be more correlated for normal thermograms than the abnormal one. The fact is based on the asymmetry analysis of breast thermograms. Based on the correlation coefficient the analysis is conducted in this present work. The result of analysis validates that image qualities are an important factor during thermogram analysis.