Segmentation of x-ray images using Probabilistic Relaxation Labeling
Segmentation is a process of separating objects of interest from their background or from other objects in an image. Without a suitable segmentation scheme, it is very difficult to detect contraband in X-rays images. In this paper, a Probabilistic Relaxation Labeling (PRL) segmentation scheme is presented and compared with other segmentation methods. PRL segmentation is an interative algorithm that labels each pixel in an image by cooperative use of two information sources: the pixel probability and the degree of certainty of its probability supported by the neighboring pixels. The practical implementation and results of the PRL segmentation on X-ray baggage images are also discussed and compared with other segmentation methods. 13 refs., 12 figs.
- Research Organization:
- Sandia National Labs., Albuquerque, NM (United States)
- Sponsoring Organization:
- DOE; USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC04-76DP00789
- OSTI ID:
- 6110065
- Report Number(s):
- SAND-91-2451C; CONF-9111129--2; ON: DE92002988
- Country of Publication:
- United States
- Language:
- English
Similar Records
Nuclear medicine image segmentation using a connective network
Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM
Related Subjects
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
AIRPORTS
ALGORITHMS
CONTAINERS
ELECTROMAGNETIC RADIATION
IMAGE PROCESSING
IMAGES
INDUSTRIAL RADIOGRAPHY
IONIZING RADIATIONS
ITERATIVE METHODS
MATHEMATICAL LOGIC
NOISE
PROCESSING
RADIATIONS
X RADIATION
X-RAY RADIOGRAPHY