Automatic vehicle detection in infrared imagery using a novel method for defining regions of interest, feature extraction, and a fuzzy logic classification system

Bruce N. Nelson

doi:10.1117/12.395555

17 August 2000 Automatic vehicle detection in infrared imagery using a novel method for defining regions of interest, feature extraction, and a fuzzy logic classification system

Bruce N. Nelson

Author Affiliations +

Proceedings Volume 4050, Automatic Target Recognition X; (2000) https://doi.org/10.1117/12.395555
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

A method for the automatic detection of tanks and other vehicles in infrared imagery will be described. First regions of interest in the infrared imagery are identified using a novel method that combines histogram specification, applying a fixed grayscale threshold to the image, and performing image labeling on the thresholded image. Features are next extracted from identified regions of interest. The features are input to a fuzzy inference system. The output of the fuzzy inference system is a target confidence value that is used to classify targets at objects of interest or clutter.

Citation Download Citation

Bruce N. Nelson "Automatic vehicle detection in infrared imagery using a novel method for defining regions of interest, feature extraction, and a fuzzy logic classification system", Proc. SPIE 4050, Automatic Target Recognition X, (17 August 2000); https://doi.org/10.1117/12.395555

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