Advanced Thermal Image Processing
Thermal imaging can be useful as an early diagnostic technique that can detect many diseases, such as for example, breast cancer, malignant tumors, etc. There are many different methods that describe image features. A large group of methods is based on statistical parameters calculations. Parameters like mean value, standard deviation, skewness, kurtosis, etc. can be used to compare thermal images. We consider both the first and second order statistical parameters [1,2]. The first order statistical parameters methods use image’s histogram (Figure 12.1) to compute signatures, while the second order statistical parameters are defined for so-called co-occurrence matrix of the image [2,11].