SBIR-STTR Award

Analysis of X-Ray Images Using Wavelet and Fractal Methods
Award last edited on: 7/21/2004

Sponsored Program
SBIR
Awarding Agency
DOD : Army
Total Award Amount
$99,993
Award Phase
1
Solicitation Topic Code
A96-002
Principal Investigator
John Perry

Company Information

ENSCO Inc

3110 Fairview Park Drive
Falls Church, VA 22042
   (703) 321-9000
   info@ensco.com
   www.ensco.com
Location: Multiple
Congr. District: 08
County: Fairfax

Phase I

Contract Number: DAAE30-97-C-0002
Start Date: 10/31/1996    Completed: 5/1/1997
Phase I year
1997
Phase I Amount
$99,993
Detection of natural, variable objects requires general features that can be extracted from any image. Human vision is capable of segmenting images and recognizing objects in radiographs despite the summation of all objects in the inspection volume in the image plane. Thus, the features important in human perception provide a guide for automatic image processing. The initial features selected for evaluation are edges, defined by the wavelet transform and characterized by the Lipschitz exponent, and the fractal dimension, estimated by an efficient multiscale filter. Segmentation of the multiple parameter image, including spectroscopic absorption data, will then be effected using the Markov random field model and hierarchical agglomerative clustering algorithm of Panjwani and Healey. Military applications include internal inspection of munitions for manufacturing quality control, or possibly for treaty verification. Many security tasks require internal inspection for only generally defined objects, such as inspection for explosives of contraband. Commercial applications include inspection for ill-defined, high-resolution defects such as cracks and corrosion in sealed containers and plumbing. These image features can be used in the automated analysis of other types images.

Phase II

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Start Date: 00/00/00    Completed: 00/00/00
Phase II year
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