USA flag logo/image

An Official Website of the United States Government

Perception-Based Image Interpretation

Award Information

Department of Defense
Missile Defense Agency
Award ID:
Program Year/Program:
1997 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Cybernet Systems Corporation
3885 Research Park Drive Ann Arbor, MI 48108-2247
View profile »
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
Phase 2
Fiscal Year: 1997
Title: Perception-Based Image Interpretation
Agency / Branch: DOD / MDA
Contract: N/A
Award Amount: $745,924.00


This research project is directed at developing an operator perception model based on insight from empirical perception data combined with knowledge of how the human vision system processes information. As a first step in this direction, we are proposing to collect perceptual data and use this data to develop, implement, and evaluate concept approaches for augmenting human operator performance in interpreting images. We believe that the resulting system will significantly improve operator performance, and that in addition to solving an immediate problem will benefit other applications that require operator decisions from image data. Central to this approach is the application of a tool that Cybernet has developed for ARPA to collect and analyze visual perception and operator performance on such image interpretation problems. The proposed effort will produce technology that has significant commercial potential in both the government and commercial sectors. Potential government applications include image enhancement tools for the intelligence community and visual decision systems for strategic defense. Potential industrial/commercial applications include enhancing medical and dental images, industrial security, and computer art.

Principal Investigator:

Brian T. Mitchell Phd

Business Contact:

Small Business Information at Submission:

Cybernet Systems Corp
1919 Green Rd., Suite B-101 Ann Arbor, MI 48105

EIN/Tax ID: 430924383
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No