Feature Extraction From Forward Looking Infrared (FLIR) Imagery

Many image processing tasks require the ability to extract useful features from digital images. The selection of a set of appropriate attributes to be extracted from an image constitutes a major problem. This paper examines a number of region features for their utility in target detection and object recognition. A simple hierarchical detection scheme is constructed which can be easily extended to perform classification. Experimental results are presented for FLIR images of tactical targets.

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