Segmentation of FLIR Images: A Comparative Study
MARYLAND UNIV COLLEGE PARK COMPUTER VISION LAB
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Several segmentation techniques were applied to a set of 51 FLIR forward-Looking Infrared images of four different types, and the results were compared to hand segmentations. There were substantial differences in performance, indicating that the choice of proper technique is very important. The segmentation techniques used were superslice, pyramid spot detection, two versions of relaxation, pyramid linking, and superspike, One technique, superspike, outperformed all the others, detecting 88 of the targets and yielding only 1.6 false alarms per true target.