This project addresses a key problem which currently limits the success of machine vision in new applications: design of algorithms. Methods are explored to partially automate the design of vision algorithms for recognizing and localizing industrial parts and other man-made objects. The project suggests a unified methodology for partially automating the generation of vision algorithms using methodologies of search, reasoning under uncertainty, perspective geometry analysis, and especially mathematic morphology. The work also addresses the important software-related issue of testing and evaluation of vision algorithms. The results should find use in industrial, military, and space applications.

Agency
National Science Foundation (NSF)
Institute
Division of Information and Intelligent Systems (IIS)
Application #
9023977
Program Officer
Howard Moraff
Project Start
Project End
Budget Start
1991-05-01
Budget End
1995-04-30
Support Year
Fiscal Year
1990
Total Cost
$465,000
Indirect Cost
Name
University of Washington
Department
Type
DUNS #
City
Seattle
State
WA
Country
United States
Zip Code
98195