Abstract
Traditional camouflage pattern painting is not effective enough due to development of the high-tech reconnaissance. The recently proposed digital pattern painting, a new form of camouflage pattern painting, which has better performance in countering reconnaissance. In this study, we present a novel design and evaluation of digital camouflage pattern based on spot combination. Firstly, we compared three clustering algorithms to extract dominant colors. At the meantime, on the basis of spot database, a spot combination algorithm is proposed to generate camouflage spot pattern. Finally, we evaluate its camouflage effect using saliency map based on human visual perception mechanism, as well as detection time. The herein proposed digital camouflage pattern can effectively blend with surrounding background, significantly prolong the detection time, and thus has a good camouflage effect.
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