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

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.

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