MATEC Web of Conferences (Jan 2016)

Optical Digital Imitation Painting Design Based on Self-Adaptive Image Feature

  • Zhu Liyan,
  • Qin Jianfei,
  • Qu Liyong,
  • Song Shuwei,
  • Xu Weidong

DOI
https://doi.org/10.1051/matecconf/20166106014
Journal volume & issue
Vol. 61
p. 06014

Abstract

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Based on the study of existing digital imitation camouflage technology, we propose a kind of optical digital imitation camouflage design algorithm which is based on the characteristic of self-adaptive image. Picking main color feature of the background by using K-means clustering algorithm, counting the shape characteristics of each main color spots by separating layers, we generated digital camouflage pattern automatically by segmenting the background region characteristics and fill the background color image according to the statistics expected value. The simulation results show that, the digital camouflage generated automatically is blend well with the background .It keeps the background color and shape features, so has good camouflage effect. This algorithm can also provide the basic algorithm foundation for digital deformation camouflage.

Keywords