Generation of arbitrary lattice pattern in the strong focusing of light field via image skeletonization and Debye diffraction

Hao Wu, Zhipeng Zhang, Qianxiang Wan, Hongyu Zhang, Zihao Li, Haoran Chen, Xianlin Song
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Abstract

Phase technology is widely utilized in the field of optics. By applying phase technology, the required pattern can be obtained by remodeling the light field in the focal area of the objective lens, which has significant value in laser manufacturing, biomedicine and optical imaging. Gerchberg-Saxton algorithm is commonly used in imaging systems to restructure the light field, which is achieved by converting light intensity distribution of the Fourier plane optical field into the phase distribution on the focal plane through the inverse Fourier transform. Nevertheless, for a high numerical aperture objective lens, the accuracy of the relationship between the phase and the intensity of the light field may be compromised by depolarization effects, which causes the Fourier transform unable to accurately generate the required lattice pattern from the known light intensity distribution. To obtain the intensity of the light field and phase information during the optical transmission process from the rear focal plane to the front focal plane of the objective lens, we utilize the Debye diffraction in place of the Fourier transform in the Gerchberg-Saxton algorithm. Image skeletonization is a morphology-based image processing technology used to extract the backbone structure and shape information in the image, which extracts the main structure of the image and generates a more simplified representation by eliminating redundant information in the image. Image skeletonization technology has applications in many fields, including computer vision and medical image processing, among others. In this paper, we demonstrated the generation of lattice patterns from arbitrary images in the strong focusing of light field using Debye diffraction theory and image skeletonization technology.
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利用图像骨架化和德拜衍射在强聚焦光场中产生任意点阵图
相位技术在光学领域有着广泛的应用。利用相位技术对物镜焦点区域的光场进行重构,得到所需的图案,在激光制造、生物医学和光学成像等领域具有重要的应用价值。Gerchberg-Saxton算法是成像系统中常用的光场重构算法,该算法通过傅里叶反变换将傅里叶平面光场的光强分布转化为焦平面上的相位分布。然而,对于高数值孔径物镜,相位和光场强度关系的准确性可能会受到退极化效应的影响,这导致傅里叶变换无法准确地从已知的光强分布中生成所需的点阵图。为了获得物镜后焦平面到前焦平面的光传输过程中的光场强度和相位信息,我们利用Debye衍射代替Gerchberg-Saxton算法中的傅里叶变换。图像骨架化是一种基于形态学的图像处理技术,用于提取图像中的主干结构和形状信息,通过去除图像中的冗余信息,提取图像的主体结构,生成更简化的表示。图像骨架化技术在计算机视觉、医学图像处理等领域有着广泛的应用。本文利用德拜衍射理论和图像骨架化技术,演示了在强聚焦光场中任意图像的点阵图形生成。
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