AI 中文总结
研究激光散斑材料分类中数据增强问题，在含多种扰动的参数增强框架下训练模型，发现高斯模糊等有害，空间相关扰动有益，拟合模型能解释大部分性能变化，表明增强有效性由结构保持决定，推动相干光学传感增强设计。
AI 中文摘要
数据增强常用于图像分类以提升泛化能力，但标准策略的假设与相干成像不匹配。激光散斑图案非一般纹理，其判别内容由结构化随机空间和频率统计承载。本研究探讨可控增强扰动对SensiCut数据集上基于散斑的材料分类的影响。在含旋转、高斯模糊等的参数增强框架下训练模型，用宏F1分数评估性能。结果表明高斯模糊有负面影响，独立像素噪声有害，空间相关扰动有积极作用，拟合模型解释了大部分性能变化。研究显示在激光散斑成像中，增强有效性主要由结构保持而非扰动幅度决定，这为相干光学传感的物理感知增强设计提供了动力。
英文摘要
Data augmentation is routinely used to improve generalization in image classification, but the assumptions underlying standard policies are poorly matched to coherent imaging. Laser speckle patterns are not generic textures; they arise from coherent interference, and their discriminative content is carried by structured stochastic spatial and frequency statistics. This study examines how controlled augmentation perturbations influence speckle-based material classification on the SensiCut dataset. We train ResNet18 and EfficientNet-B0 under a parametric augmentation framework comprising rotation, Gaussian blur, independent Gaussian noise, spatially correlated speckle-aware noise, intensity jitter, and spatial masking, and evaluate test performance using macro F1-score averaged over three random seeds. Separate ordinary least squares models link augmentation parameters to performance for each architecture. Across both models, Gaussian blur exerts a strong negative effect (p < 0.001), indicating that low-pass filtering suppresses high-frequency structure that is informative for material discrimination. Independent pixel-wise noise is likewise harmful (p = 0.003 for EfficientNet-B0 and p = 0.001 for ResNet18), consistent with disruption of local spatial coherence. In contrast, spatially correlated perturbations yield significant positive coefficients (p = 0.004 for EfficientNet-B0 and p = 0.001 for ResNet18), showing that variability can improve robustness when it preserves speckle organization. The fitted models explain a substantial fraction of performance variation (R2 = 0.796 for EfficientNet-B0 and R2 = 0.879 for ResNet18). These results show that, in laser speckle imaging, augmentation effectiveness is determined primarily by structural preservation rather than perturbation magnitude. The findings motivate physics-aware augmentation design for coherent optical sensing.
CommentsCopyright 2026 IEEE. This is the author's version of the work that has been Accepted for publication in the Proceedings of the 2026 IEEE 2025 Intelligent Methods, Systems, and Applications (IMSA). Final published version will be available on IEEE Xplore
Journal ref2026 Intelligent Methods, Systems, and Applications (IMSA), Giza, Egypt, 2026, pp. 658-663
DOI：10.1109/IMSA70415.2026.11700277
