**2. Outline of the chapter**

The main objective of this work is to perform statistical analysis in the thermal images to achieve reasonable and accurate inferences to make decisions accurately which aids in the prevention of numerous errors and biases. A Kernel Mixture Model (KMM) with four components approximates the plantar temperature distributions of the control group and DM group. Color texture features are extracted and analyzed to find the important features. A competent classification model to investigate the likelihood of diabetes in patients with maximum accuracy using the statistically significant temperature and color texture features is presented in **Figure 1**.
