Software development tools for implementing vision systems on multiprocessors

Alok Choudhary; Sanjay Ranka

doi:10.1117/12.47979

1 April 1991 Software development tools for implementing vision systems on multiprocessors

Alok Choudhary, Sanjay Ranka

Proceedings Volume 1406, Image Understanding in the '90s: Building Systems that Work; (1991) https://doi.org/10.1117/12.47979
Event: Applied Imaging Pattern Recognition, 1990, McLean, VA, United States

Abstract

A methodology and supporting software tools for obtaining insight and quantitative measures on the accuracy of ATC (automatic target cueing) algorithms are described. Algorithm accuracy is characterized by trade-off curves in which selected performance measures are plotted against each other over a range of algorithm operating points. Performance trade-off curves determined as a function of critical sensor, target and background parameters allow algorithm sensitivity issues to be investigated and provide a basis for evaluating algorithm accuracy effects in the context of specific missions. The evaluation process is founded on an ATC experiment design which defines a challenging but representative "cut" through the multidimensional scenario space associated with the mission under consideration. The experiment design is included in a written test plan which documents the mechanics of the evaluation process and specifies the amount and type of imagery that will be made available for algorithm development and evaluation. tolls for placing confidence bounds on hypothetical algorithm performance trade-off curves provide a basis for addressing the statistical data adequacy issue in relation to the experiment design.

Citation Download Citation

Alok Choudhary and Sanjay Ranka "Software development tools for implementing vision systems on multiprocessors", Proc. SPIE 1406, Image Understanding in the '90s: Building Systems that Work, (1 April 1991); https://doi.org/10.1117/12.47979

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