Electronic imagery is an integral component of information technology systems today. Information to be collected and analyzed from images can include metrology or photogrammetry, the automatic identification of complex structures, analysis of features and material characteristics at biological or atomic scales, and the tracking and recognition of human faces and gestures in motion video. The science of imaging is associated with theory, sensors, instruments, and multi-dimensional signal-processing methods required to capture, construct (or reconstruct), filter, transmit, measure, manage or otherwise interpret information inherent in image data.
Our research encompasses image processing methods that include:
- sensors and optics,
- modeling, synthesis, and processing,
- image-based metrology,
- feature analysis and pattern recognition,
- real-time imaging,
- computer visualization,
- image management and retrieval, and,
- system integration
Our group was established in 1987 to conduct pure and applied research to develop technologies that provide human-like decision making capabilities for computers and robots. These methods and systems perform image-based metrology, scene analysis and comprehension, and archival image indexing and management. Today we form one of nine R&D groups in the Measurement Science and Systems Engineering Division at ORNL. We support three R&D programs in biomedical imaging, industrial inspection and metrology, and national security. For more details regarding our research areas and technologies, visit our Research, Publications, and Patents/Inventions pages.
Imaging, Signals and Machine Learning Group