Journal of Applied Sciences ›› 2012, Vol. 30 ›› Issue (6): 624-628.doi: 10.3969/j.issn.0255-8297.2012.06.011

• Signal and Information Processing • Previous Articles     Next Articles

Application of Markov Random Field and Pyramid Structure in the Design of Digital Pattern Painting

JIA Qi1, LÜ Xu-liang1, WU Chao2, RONG Xian-hui3   

  1. 1. College of Field Engineering, PLA University of Science and Technology, Nanjing 210007, China
    2. The First Engineers Scientific Research Institute of the General Armaments Department, Wuxi 214035, Jiangsu Province, China
    3. Department of Scientific Research, PLA University of Science and Technology, Nanjing 210007, China
  • Received:2011-06-13 Revised:2011-11-16 Online:2012-11-27 Published:2011-11-16

Abstract: For the fast and automatic design of digital pattern painting, a design platform based on Markov random field and a pyramid structure is constructed. Major colors and their area percentages are derived using a clustering method. The Markov random field model is used to simulate natural texture distribution, and
the pyramid structure is used to decompose the digital pattern paintings to combat reconnaissance threats at different distances. The design platform is thus constructed. A test pattern painting is designed based on the background characteristics of a forest region. The results show that the proposed model can be used to design digital pattern painting automatically and quickly, resulting in effective improvements in efficiency and quality.

Key words: pattern painting, Markov random field, pyramid, texture

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