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Image representation of structure color based on edge detection algorithm
Results in Physics ( IF 4.4 ) Pub Date : 2020-09-30 , DOI: 10.1016/j.rinp.2020.103441
Kui Wen , Zhaojian Zhang , Xinpeng Jiang , Jie He , Junbo Yang

The subwavelength structure based on metamaterials is widely used in the field of photonics due to its unique electromagnetic properties. Here, a Fabry-Perot-like cavity structure composed of aluminum and silicon materials is proposed, of which resonance peak can shift in the whole visible light band, and makes the materials display different colors. In addition, the edge detection algorithm is used to extract the edge position information of the image, so that the image represented by the structure color can be described more accurately. At the same time, the combination of structure color and algorithm upgrades the artificial representation of image information to intelligent processing. This work provides a valuable scheme for the design of simple nanostructures with multi physical mechanisms in the future.



中文翻译:

基于边缘检测算法的结构色图像表示

基于超材料的亚波长结构因其独特的电磁特性而被广泛用于光子学领域。在此,提出了一种由铝和硅材料组成的类Fabry-Perot腔结构,其共振峰可以在整个可见光波段内移动,并使材料显示不同的颜色。另外,边缘检测算法用于提取图像的边缘位置信息,从而可以更准确地描述由结构颜色表示的图像。同时,结构颜色和算法的结合将图像信息的人工表示升级为智能处理。这项工作为将来设计具有多种物理机制的简单纳米结构提供了有价值的方案。

更新日期:2020-10-11
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