In this paper an evaluation of the influence of luminance L* at the L*a*b* color space during color segmentation is presented. A comparative study is made between the behavior of segmentation in color images using onl...In this paper an evaluation of the influence of luminance L* at the L*a*b* color space during color segmentation is presented. A comparative study is made between the behavior of segmentation in color images using only the Euclidean metric of a* and b* and an adaptive color similarity function defined as a product of Gaussian functions in a modified HSI color space. For the evaluation synthetic images were particularly designed to accurately assess the performance of the color segmentation. The testing system can be used either to explore the behavior of a similarity function (or metric) in different color spaces or to explore different metrics (or similarity functions) in the same color space. From the results is obtained that the color parameters a* and b* are not independent of the luminance parameter L* as one might initially assume.展开更多
Structural colors with high saturation,large gamut,high resolution,and tunable color are expected in practical applications.This work explores the generation of tunable structural color based on transmission metasurfa...Structural colors with high saturation,large gamut,high resolution,and tunable color are expected in practical applications.This work explores the generation of tunable structural color based on transmission metasurfaces.The designed metasurfaces consist of rectangular nanoholes etched in silver film,which is deposited on the stretchable polydimethylsiloxane(PDMS)substrate.The smaller separation of adjacent nanoholes makes the resolution of metasurface reach 63,500 dpi.The color gamut of the nanostructures reaches 146.9%sRGB.We also perform a comparison with the case on the glass substrate and analyze the incident polarization condition and the coating film of polymethyl methacrylate(PMMA).The ultra-thin structure,high resolution,highperformance structural colors,and convenient transmission mode provide broad application prospects for metasurfaces in color displaying,color printing,and color holographic imaging.展开更多
文摘In this paper an evaluation of the influence of luminance L* at the L*a*b* color space during color segmentation is presented. A comparative study is made between the behavior of segmentation in color images using only the Euclidean metric of a* and b* and an adaptive color similarity function defined as a product of Gaussian functions in a modified HSI color space. For the evaluation synthetic images were particularly designed to accurately assess the performance of the color segmentation. The testing system can be used either to explore the behavior of a similarity function (or metric) in different color spaces or to explore different metrics (or similarity functions) in the same color space. From the results is obtained that the color parameters a* and b* are not independent of the luminance parameter L* as one might initially assume.
基金National Natural Science Foundation of China(10874105)Natural Science Foundation of Shandong Province(ZR2020KA009)。
文摘Structural colors with high saturation,large gamut,high resolution,and tunable color are expected in practical applications.This work explores the generation of tunable structural color based on transmission metasurfaces.The designed metasurfaces consist of rectangular nanoholes etched in silver film,which is deposited on the stretchable polydimethylsiloxane(PDMS)substrate.The smaller separation of adjacent nanoholes makes the resolution of metasurface reach 63,500 dpi.The color gamut of the nanostructures reaches 146.9%sRGB.We also perform a comparison with the case on the glass substrate and analyze the incident polarization condition and the coating film of polymethyl methacrylate(PMMA).The ultra-thin structure,high resolution,highperformance structural colors,and convenient transmission mode provide broad application prospects for metasurfaces in color displaying,color printing,and color holographic imaging.