Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
409033 | Neurocomputing | 2016 | 9 Pages |
Abstract
Using high-tech means of detection, it is easy to discover the drawbacks of traditional camouflage; that is, a lack of sharp boundaries and poor camouflage effects. Digital camouflage textures overcome these drawbacks and produce good optical camouflage effects. In this paper, we present a novel design of digital camouflage based on algorithms for spot pattern template distribution. First, we extract primary colors from the background using a clustering method. Then, a spot template distribution algorithm is proposed to generate camouflage textures gradually. The output camouflage patterns generated by our proposed method blend naturally into the background and achieve good results in terms of optical camouflage.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Feng Xue, Shan Xu, Yue-Tong Luo, Wei Jia,