3 Basic Approaches of Artificial Intelligence and Machine Learning in Thermal Image Processing
3.1 Image Source
Thermal imaging involves capturing infrared radiations emanating from the source by an array of IR sensors. These sensors are made up of photosensitive materials that convert the incident radiations into electrical signals. Then, these electrical signals are sampled and quantized to produce a thermal image. Advanced thermal imagers consist of thermal detectors called microbolometers which convert the radiant IR energy to a change in resistance which in turn is converted to a change in the electrical signal. An array of microbolometers forms the thermal imaging sensor (Focal plane array IR sensor) with ...
Get Artificial Intelligence-based Infrared Thermal Image Processing and its Applications now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.