Abstract
BackgroundMeasurement 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.MethodologyIn 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.SignificanceThe 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.
Highlights
To defend against an enemy’s high-tech weaponry for reconnaissance and attack, and to protect an army’s strategic and tactical objectives, it is essential to use a large range of camouflage patterns
We present a computation method that arouse from the above ideas to evaluate camouflage performance adapting from existing image fusion evaluation metrics, wherein psychophysical data and eye movement measures as suggested in [21] were included as the guidance and support for comparative assessment of these metrics
The data were analyzed with Minitab, and all the image-quality assessment variables available from the literature (MSE, PSNR, and Universal Image Quality Index (UIQI)) were used individually as predictors for camouflage performance
Summary
To defend against an enemy’s high-tech weaponry for reconnaissance and attack, and to protect an army’s strategic and tactical objectives, it is essential to use a large range of camouflage patterns. Camouflage assessment has used military observers in specific settings to assess the performance of camouflage [2,3]. This approach is expensive, time consuming, and complicated, and the experimental conditions are difficult to control. In order to provide a new method to improve the objectivity and validity of camouflage evaluations, the research and technology organization (RTO) of NATO presented photo-simulation [4]. We found that the Universal Image Quality Index (UIQI) correlated well with the psychophysical measures, and it could be a potentially camouflage assessment tool
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