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Neurobiologically-based System for Object Segmentation and Recognition

Award Information
Agency: Department of Defense
Branch: National Geospatial-Intelligence Agency
Contract: N/A
Agency Tracking Number: 41354
Amount: $69,999.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 1998
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
2520 WEST 237TH STREET, Torrance, CA, 90205
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Shannon Cambell
 (310) 530-7130
Business Contact
Phone: () -
Research Institution
N/A
Abstract
This phase I project will create, for the first time, a dynamic system, based on neurophysiology of the brain, to perfrom image segmentation using high level info. In computer vision, pattern recognition is frequently hampered by poor image segmentation. Segmentation algorithms have not been able to segment an image as a human would, instead they form regions based on mathematically defined criteria. Because existing segmentation algorithms are underdeveloped, the segments they create do not benefit pattern recognition systems, which have enough problems recognizing an object, let alone recognizing an object that has not segmented accurately. In IOS' dynamic system, low level sgementation results will feed forward omto an associative memory. the associative memeory will feedback to the first level to adjust the segmentation results. Merging both tasks in a dynamically interacting system will create a powerful and accurate image segmentation tool for object recognition and machine vision applications.

* Information listed above is at the time of submission. *

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