【24h】

Monte Carlo Simulation of Light Propagation in Apples

机译:蒙特卡罗苹果轻型传播仿真

获取原文

摘要

This paper reports on the investigation of light propagation In fresh apples in the visible and short-wave near-infrared region using Monte Carlo simulations. Optical properties of 'Golden Delicious' apples were determined over the spectral range of 500-1100 nm using a hyperspectral imaging method, and they were used in Monte Carlo (MC) models to simulate light propagation in fruit tissue. MC simulation models were validated by comparing with the diffusion theory model and experimental data. The patterns of diffuse reflectance, internal absorption, and penetration depth were determined using typical values of the absorption and reduced scattering coefficients (mu _a and mu_s for the apples. Up to 58.2% of the photons were absorbed under the maximumabsorption condition, and 97.8% photons exited as diffuse reflectance for the zero absorption cases. The optimum sensing range for the apple samples under our imaging system setup was found to be 13 mm for the 'Golden Delicious' apples. Fruit tissue witha larger mu_a value absorbed light energy rapidly in short depth and radial distances, and light in the tissue with small mu_s value tended to propagate forward to the deeper area of the sample. Light penetration depths in 'Golden Delicious' apples werein the range of 2.9 to 11.3 mm over the 500-1000 nm spectral range. Pigments and water in fruit tissue greatly influenced light penetration depth.
机译:此光的传播的调查在新鲜苹果使用Monte Carlo模拟的近红外区域中的可见光和短波纸报告。 “金冠”苹果的光学性质并且使用高光谱成像方法的500-1100纳米的光谱范围内确定,并且它们在蒙特卡洛(MC)模型被用来模拟果实组织中光的传播。 MC仿真模型,通过与扩散理论模型和实验数据进行对比验证。使用和吸收的典型值约化散射系数(亩_a和mu_s为苹果测定漫反射率,内部吸收和穿透深度的图案。截至光子maximumabsorption条件下被吸收的58.2%,和97.8%退出作为漫反射的零吸收情况下的光子。最佳检测范围为我们的成像系统设置下的苹果样品被认为是为“金冠”苹果13毫米果实组织戕较大mu_a值在短迅速吸收的光能在具有小mu_s的组织深度和径向距离,以及光值趋于向前传播到所述样品的更深区域。在“金冠”苹果werein 2.9的范围内的光穿透深度来11.3毫米在500-1000纳米光谱范围。颜料和水果组织中水的影响很大的光穿透深度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号