Laser Reflection Image Dataset for Surface Roughness Estimation

Within the PhoenixD excellence cluster, an in-line measurement system was developed and integrated into the KERN Micro HD machine tool, enabling the estimation of surface roughness on reflective surfaces without dismounting the workpiece. The system works by shooting a laser onto the surface and analyzing the reflection spot. To estimate roughness from the reflection spot image, a reflectivity degree was estimated for each spot, and a regression model was fitted. The dataset contains the images and roughness measurements (see https://doi.org/10.25835/wgg72wz0) that were used to fit the model and test the method. The dataset consists of images taken in a dark room, as well as in a room with external lighting. Furthermore, it contains images taken on the machine in conditions of relative darkness, with external room lighting as well as with machine lighting. While most of the images show the reflection spot on a target surface, some images showing the reflection directly into the camera are also included. Please contact the authors or the dataset maintainer for further details.