Semi-automated porosity identification from thin section images using image analysis and intelligent discriminant classifiers

► Thin section images are studied to identify 5 types of pore spaces automatically. ► A pattern recognition algorithm is followed to identify pore spaces. ► Image analysis and discriminant classifier are integrated to develop the model. ► The proposed model is a promising approach to study pore types in an accurate way.