Image Processing and Post-Data Mining Processing for Security in Industrial Applications

Abstract

The chapter analyzes scientific approaches suitable for industrial security involving environment health monitoring and safety production control. In particular, it discusses data mining algorithms able to add hidden information important for security improvement. In particular k-means and artificial intelligence algorithms are applied in different cases of study by discussing the procedures useful to set the model including image processing and post clustering processing facilities. The chapter is focused on the discussion of information provided by data mining results. The proposed model is matched with different architectures involving different industrial applications such as biometric classification and transport security, railway inspections, video surveillance image processing, and quarry risk evaluation. These architectures refer to specific industry projects. As advanced applications, a clustering analysis approach applied on thermal radiometric images and a dynamic contour extraction process suitable for oil spill monitoring are proposed.