SEGMENTATION ALGORITHMS FOR DETECTION OF TARGETS IN IR IMAGERY

Authors
  1. Sevigny, L.
Corporate Authors
Defence Research Establishment Valcartier, Valcartier QUE (CAN)
Abstract
The report presents a class of segmentation algorithms (segmenters) for detection of targets in IR imagery based on the single assumption that the targets possess a larger thermal signature than the background. This class of algorithms emerged as a result of efforts to improve an early segmenter devised to extract targets from IR BOFORS imagery. This segmenter proceeds according to a Single Intensity Threshold whence the name SIT Generator to designate it. The extraction record of the SIT Generator is generally excellent whenever the background, on a large-scale basis, is relatively uniform. When this condition is not met, one can use a thresholding intensity function in lieu of a fixed threshold. The SIT Generator and its variants try to cope with the background simply by partitioning the image. A more promising avenue consists in levelling the background so as to curb its ascendancy over the image. TRUNCATED
Report Number
DREV-4180/81 —
Date of publication
15 Jan 1981
Number of Pages
79
DSTKIM No
81-00571
CANDIS No
31712
Format(s):
Hardcopy;Originator's fiche received by DSIS

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