REAL-TIME IMAGE PROCESSING AND IMAGE UNDERSTANDING USING A COMBINED NEURAL NETWORK/EXPERT SYSTEM

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$48,471.00
Award Year:
1988
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Agency Tracking Number:
9038
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Reshet Inc
314 - N 32nd St, Philadelphia, PA, 19104
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
DR JAMES EILBERT
(215) 222-9117
Business Contact:
() -
Research Institution:
n/a
Abstract
THIS PROPOSAL IS MOTIVATED BY THE COMPLEMENTARY CAPABILITIES OF EXPERT SYSTEM AND NEURAL NETWORK (NN) TECHNOLOGIES, AND BY THE POTENTIAL FOR A COMBINED SYSTEM TO PERFORM MORE EFFECTIVELY THAN EITHER ALONE. THE LOCAL, BOTTOM-UP APPROACH TO VISION CANNOT DEAL WITH THE NOISE AND THE ON-GOING PRODUCTION OF NOVELTY IN REAL VISUAL SCENES, WHILE EXPERT SYSTEM APPROACHES ARE TOO BRITTLE AND SLOW TO DO REAL-TIME IMAGE PROCESSING. WE BELIEVE THE COMBINED NN/EXPERT SYSTEM ARCHITECTURE IN THIS PROPOSAL WILL OVERCOME MANY OF THE PROBLEMS WITH PREVIOUS APPROACHES. THE PROPOSED PROJECT HAS 2 PRIMARY GOALS: 1) TO CONSTRUCT A COMPUTER APPLICATION THAT COMBINES A NEURAL NETWORK (NN) COMPONENT AND AN EXPERT SYSTEM COMPONENT IN A WAY THAT ENHANCES THE PERFORMANCE OF EACH; 2) USE THE SYSTEM TO CREATE FASTER MORE FLEXIBLE SOLUTIONS TO EXPERT LEVEL PROBLEMS IN VISION.

* information listed above is at the time of submission.

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