Department of Computer Science, University of Verona, Strada le Grazie 15, 37134 Verona, Italy.
Sensors (Basel). 2023 Apr 20;23(8):4144. doi: 10.3390/s23084144.
A recognized problem in profilometry applied to artworks is the spatial referencing of the surface topography at micrometer scale due to the lack of references in the height data with respect to the "visually readable" surface. We demonstrate a novel workflow for spatially referenced microprofilometry based on conoscopic holography sensors for scanning in situ heterogeneous artworks. The method combines the raw intensity signal collected by the single-point sensor and the (interferometric) height dataset, which are mutually registered. This dual dataset provides a surface topography registered to the artwork features up to the precision that is given by the acquisition scanning system (mainly, scan step and laser spot). The advantages are: (1) the raw signal map provides additional information about materials texture, e.g., color changes or artist marks, for spatial registration and data fusion tasks; (2) and microtexture information can be reliably processed for precision diagnostic tasks, e.g., surface metrology in specific sub-domains and multi-temporal monitoring. Proof of concept is given with exemplary applications: book heritage, 3D artifacts, surface treatments. The potential of the method is clear for both quantitative surface metrology and qualitative inspection of the morphology, and it is expected to open future applications for microprofilometry in heritage science.
应用于艺术品的轮廓术存在一个公认的问题，即由于缺乏相对于“视觉可读”表面的高度数据中的参考，因此无法对微米级的表面形貌进行空间参考。我们展示了一种基于偏光全息传感器的新型用于原位扫描异质艺术品的空间参考微轮廓术的工作流程。该方法结合了单点传感器采集的原始强度信号和（干涉）高度数据集，它们相互注册。该双数据集提供了一种与艺术品特征相关的表面形貌，其精度由采集扫描系统（主要是扫描步长和激光点）给出。其优点是：（1）原始信号图提供了有关材料纹理的附加信息，例如颜色变化或艺术家标记，用于空间注册和数据融合任务；（2）并且可以可靠地处理微纹理信息，以用于表面计量学等精密诊断任务特定子域和多时相监测。以示例应用为例给出了概念验证：书籍遗产、3D 文物、表面处理。该方法在定量表面计量学和形态学定性检查方面都具有明显的潜力，预计将为文物科学中的微轮廓术开辟新的应用。
