Computer-aided infrared camouflage effectiveness evaluation method based on image saliency
Xiaopeng Cheng, Dapeng Zhao, Zhijie Yu, Jinhua Zhang, Dabin Yu · Tenth International Conference on Information Optics and Photonics · 2018
This paper reports on a new computer-aided method for the infrared camouflage effectiveness evaluation of a target based on its image saliency. The image saliency of a target was computed according to its background-related features, including intensity, contrast, gradient and orientation features in one real infrared image. On the basis of the former saliency value, the camouflage effectiveness value of a target was calculated quantitatively. The results clearly indicated that the target without infrared camouflage had a low camouflage effectiveness value, while a target with good infrared camouflage (the camouflage pattern patches of the target matched well with the background) had a high camouflage effectiveness value, which proved that this method could not only reflect the infrared camouflage effectiveness of a target in the corresponding background actually but also help us differentiate the camouflage quality of different materials quantitatively. This method should be of importance for us to evaluate the infrared camouflage effectiveness of a target more quickly and objectively with the help of computers, instead of human observations.