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Proceedings Paper

Hough Transform For Target Detection In Infrared Imagery
Author(s): Tsutomu Shibata; Werner Frei
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Paper Abstract

An algorithm is described for detecting and recognizing targets in infrared imagery in real-time. Suspicious areas are selected from a large frame by a very fast pre-processor which flags suspicious locations based upon local statistics in the frame. For finding the outlines of the target, the Sobel operator is used to extract edge gradients and orientations, which are then mapped into parameter space by the Hough transformation. Normalization and sharpening operations applied in the parameter space subsequently enhance straight boundaries associated with possible targets. A discriminant function for the recognition of the targets is formed based upon the assumption that the four boundaries of the target produce four sharp peaks in the parameter space. The above algorithm successfully detected targets in 25 subimages selected form a large frame.

Paper Details

Date Published: 12 November 1981
PDF: 5 pages
Proc. SPIE 0281, Techniques and Applications of Image Understanding, (12 November 1981); doi: 10.1117/12.965737
Show Author Affiliations
Tsutomu Shibata, University of Southern California (United States)
Werner Frei, University of Southern California (United States)

Published in SPIE Proceedings Vol. 0281:
Techniques and Applications of Image Understanding
James J. Pearson, Editor(s)

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