Image representation of structure color based on edge detection algorithm

• Published in: Results in physics Vol. 19; p. 103441
• Main Authors: Wen, Kui, Zhang, Zhaojian, Jiang, Xinpeng, He, Jie, Yang, Junbo
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.12.2020; Elsevier
• Subjects: Edge detection algorithm; Image representation; Structure color; Surface plasmon; Image representation; Edge detection algorithm; Surface plasmon; Structure color
• ISSN: 2211-3797; 2211-3797
• DOI: 10.1016/j.rinp.2020.103441

•In this paper, a double layer metal Fabry-Perot-like (FP-L) cavity structure based on silicon and aluminum materials is proposed.•By coating different thickness of silicon on the surface of aluminum material with holes structure, the resonance peak during the visible light band shifts, and then presents different colors.•In addition, combined with the edge detection algorithm, the edge position information of large-scale picture is extracted to achieve more accurate effect in the process of drawing. 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.