A system classification algorithm using neural networks

R. Mamlook; W.E. Thompson; IEEE, CIIRCUITS & SYST SOC

doi:10.1109/MWSCAS.1993.343079

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Conference proceeding

A system classification algorithm using neural networks

R. Mamlook, W.E. Thompson and IEEE, CIIRCUITS & SYST SOC

Proceedings of 36th Midwest Symposium on Circuits and Systems, pp.265-268 vol.1

1993

DOI: https://doi.org/10.1109/MWSCAS.1993.343079

Abstract

Application software

Classification algorithms

Computer vision

Filters

Histograms

Military computing

Neural networks

Neurons

Pixel

Space technology

A system classification algorithm to classify an image into targets and backgrounds is presented. The algorithm uses a double window filter in which the inner window surrounds the predicted target(s), and the outer window contains the predicted background(s). A solution to the problem of threshold selection is given. An example is given to illustrate the application of this algorithm for multi-target and multi-background classification.< >

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Details

Title: A system classification algorithm using neural networks
Creators - without role: R. Mamlook - New Mexico State University
W.E. Thompson - New Mexico State University
IEEE, CIIRCUITS & SYST SOC
Publication Details: Proceedings of 36th Midwest Symposium on Circuits and Systems, pp.265-268 vol.1
Publisher: IEEE
Identifiers: 9925620308331
Academic Unit: Prince Sattam Bin Abdulaziz University
Language: English
Resource Type: Conference proceeding