Optical Digital Imitation Painting Design Based on Self-Adaptive Image Feature
1 National Key Laboratory of Electromagnetic Environment Effects and Electro-optical Engineering, PLA University of Science and Technology, Nanjing 210007, China
2 94860 PLA Troops, Nanjing 210007, China
3 National Key Laboratory of Electromagnetic Environment Effects and Electro-optical Engineering, PLA University of Science and Technology, Nanjing 210007, China
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.
Key words: Image Processing / Digital Painting / Image Features
© Owned by the authors, published by EDP Sciences, 2016
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