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:
- USDOE; USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC04-76DP00789
- OSTI ID:
- 6110065
- Report Number(s):
- SAND-91-2451C; CONF-9111129-2; ON: DE92002988
- Resource Relation:
- Conference: FAA explosives detection symposium, Atlantic City, NJ (United States), 13-15 Nov 1991
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
IMAGE PROCESSING
ALGORITHMS
X-RAY RADIOGRAPHY
AIRPORTS
CONTAINERS
IMAGES
ITERATIVE METHODS
NOISE
X RADIATION
ELECTROMAGNETIC RADIATION
INDUSTRIAL RADIOGRAPHY
IONIZING RADIATIONS
MATHEMATICAL LOGIC
PROCESSING
RADIATIONS
440101* - Radiation Instrumentation- General Detectors or Monitors & Radiometric Instruments
990200 - Mathematics & Computers