Applied
Computer Vision R&D
Group
Mission and Programs
The
Image Science & Machine Vision (ISMV) Group was established
in 1987 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
18 R&D groups in the Engineering Science & Technology Division
at ORNL.
Base
Technology and Experience
The
group consists of twelve researchers with Electrical Engineering,
Computer Science, and Nuclear Engineering backgrounds. We conduct
applied computer vision research and development that supports U.S.
industry, healthcare, and security through strategic partnerships.
Our research encompasses image processing methods that include:
image modeling; image transforms; dimensional metrology; object
and region segmentation; statistical feature analysis; pattern classification;
and content-based indexing and retrieval. We apply these methods
to three programmatic areas as described below.
Biomedical
Imaging
- Telemedicine
and CAD for mammography
- Small
Animal high-resolution tomographic medical imaging
- Image
Analysis for organ segmentation and phenotype screening
Industrial
Inspection
-
Semiconductor metrology and inspection
- Manufacturing-based
CBIR
- Energy
reduction, waste mitigation, and QC
National
Security
- Threat
object detection in x-ray imagery
- Electronic
fingerprint QC and uniqueness
-
Nuclear materials verification / identification
-
Geographic information analysis
Research Facilities
- Digital Holography Microscopy Laboratory
- Small Animal Imaging Laboratory
- Oak Ridge Web Test Bed Laboratory
- Video Analysis Laboratory
![Earth imagery content-based indexing and retrieval for operator-assisted analysis in large datasets.](images/factsheets/research-acv3.gif)
|