Neurobiologically-based System for Object Segmentation and Recognition

Award Information
Agency:
Department of Defense
Branch
National Geospatial-Intelligence Agency
Amount:
$69,999.00
Award Year:
1998
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
41354
Agency Tracking Number:
41354
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
2520 WEST 237TH STREET, Torrance, CA, 90205
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Shannon Cambell
(310) 530-7130
Business Contact:
() -
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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