Advancements in Image Pattern Recognition for Lock-In Thermography Hotspot Detection and Classification with Supervised Learning

Abstract Lock-in thermography (LIT) is a widely used nondestructive tool for detecting the failure location in integrated circuits. The image pattern recognition algorithm for detecting LIT hotspots benefits image processing and can be leveraged to automate failure analysis processes.