Developing and evaluating a target-background similarity metric for camouflage detection.
BACKGROUND
Measurement of camouflage performance is of fundamental importance for military stealth applications. The goal of camouflage assessment algorithms is to automatically assess the effect of camouflage in agreement with human detection responses. In a previous study, we found that the Universal Image Quality Index (UIQI) correlated well with the psychophysical measures, and it could be a potentially camouflage assessment tool.


METHODS
In this study, we want to quantify the camouflage similarity index and psychophysical results. We compare several image quality indexes for computational evaluation of camouflage effectiveness, and present the results of an extensive human visual experiment conducted to evaluate the performance of several camouflage assessment algorithms and analyze the strengths and weaknesses of these algorithms.


CONCLUSIONS
The experimental data demonstrates the effectiveness of the approach, and the correlation coefficient result of the UIQI was higher than those of other methods. This approach was highly correlated with the human target-searching results. It also showed that this method is an objective and effective camouflage performance evaluation method because it considers the human visual system and image structure, which makes it consistent with the subjective evaluation results.
Department of Industrial Management, National Taiwan University of Science and Technology, Taiwan, Republic of China.
Chiuhsiang Joe
CJ
Lin
Department of Industrial Management, National Taiwan University of Science and Technology, Taiwan, Republic of China.
Chi-Chan
CC
Chang
Department of Industrial Engineering and Management, St. John's University, New Taipei City, Taiwan, Republic of China.
Bor-Shong
BS
Liu
D000465:Algorithms; D003020:Clothing; D004777:Environment; D053483:Eye Movement Measurements / Q000295:instrumentation / Q000706:statistics & numerical data*; D005133:Eye Movements / Q000502:physiology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008297:Male; D009483:Neuropsychological Tests / Q000706:statistics & numerical data; D010364:Pattern Recognition, Visual / Q000502:physiology*; D010775:Photic Stimulation; D055815:Young Adult