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Gram-Schmidt orthonormalization for retrieval of amplitude images under sinusoidal patterns of illumination

机译:Gram-Schmidt正交归一化在正弦照明模式下获取振幅图像

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Structured illumination using sinusoidal patterns has been used for optical imaging of biological tissues in biomedical research, and of horticultural products in food quality evaluation. Implementation of structured-illumination imaging relies on retrieval of amplitude images, which is conventionally achieved by a phase-shifting technique that requires collecting a minimum of three phase-shifted images. In this study, we have proposed Gram-Schmidt orthonormalization (GSO) to retrieve amplitude component (AC) images using only two phase-shifted images. We have proposed two forms of GSO implementation, and prior to GSO processing, we eliminated the direct component (DC) background by subtracting a DC image we recovered using a spiral phase function (SPF) in the Fourier space. We demonstrated the GSO methods through numerical simulations and application examples of detection of bruise defects in apples by structured-illumination reflectance imaging (SIRI). GSO performed comparably to conventional three-phase-based demodulation. It is simple, fast and effective for amplitude retrieval and requires no prior phase information, which could facilitate fast implementation of structured-illumination imaging. (C) 2016 Optical Society of America
机译:使用正弦模式的结构化照明已用于生物医学研究中的生物组织的光学成像,以及食品质量评估中的园艺产品的光学成像。结构照明成像的实现依赖于幅度图像的检索,这通常是通过相移技术来实现的,该相移技术需要收集最少三个相移图像。在这项研究中,我们提出了Gram-Schmidt正交归一化(GSO)来仅使用两个相移图像来检索幅度分量(AC)图像。我们提出了两种形式的GSO实现,并且在GSO处理之前,我们通过减去在傅立叶空间中使用螺旋相位函数(SPF)减去的DC图像来消除直接分量(DC)背景。我们通过数值模拟和结构化反射反射成像(SIRI)检测苹果瘀伤缺陷的应用实例,演示了GSO方法。 GSO的性能可与传统的基于三相的解调相比。它简单,快速且有效地进行幅度检索,并且不需要先验相位信息,这可以促进结构照明成像的快速实施。 (C)2016美国眼镜学会

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