Industrial Applications for Thermal Image Fusion

The fusion of thermal and visible imagery combines the useful information contained in each wavelength in one image. However, image fusion is complex process because it should decide on the data value and content of each input image then combine them in real-time. Current work introduces a real-time implementation of an intelligent fusion routine capable of applying the thermo-plasticity analysis to evaluate a stamping process, while using the visible data to decide on any defectives accurate location. The book also discusses another fusion implementation for vehicular night vision systems, which can combine the information from reflective and emissive objects in real-time while identifying pedestrians and other objects using its temperature signature and morphology (shape).

Autorentext

Dr. Yi Zhou is a Senior Test Engineer, at EUV Test Engineering Dept. at Cymer, San Diego, CA. Dr. Omar is an associate professor of automotive & mechanical engineering at Clemson University International Center for Automotive Research CU-ICAR. Dr. Omar holds 4 US patents & published over 100 publications including 3 books.