An Adaptive Digital Camouflage Scheme Using Visual Perception and K-Mean Clustering

Heng Fu Yang; Jian Ping Yin

doi:10.4028/www.scientific.net/AMR.834-836.1091

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 834-836An Adaptive Digital Camouflage Scheme Using Visual...

An Adaptive Digital Camouflage Scheme Using Visual Perception and K-Mean Clustering

Abstract:

A new digital camouflage design scheme is presented by exploiting the visual perception of images. Firstly, the proposed scheme used color similarity and k-mean clustering to extract dominant background colors in RGB color space. Then pixels in the target selected by users were replaced with dominant colors under the control of color similarity. So the camouflage image was generated after the fusion of the target and the background. Experimental results show that the algorithm is effective and the camouflages have pleasant visual quality.

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Periodical:

Advanced Materials Research (Volumes 834-836)

Pages:

1091-1094

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.834-836.1091

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Online since:

October 2013

Authors:

Heng Fu Yang*, Jian Ping Yin

Keywords:

Clustering, Digital Camouflage, Dominant Background Color, Visual Perception

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* - Corresponding Author

References

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