Comparison of line-structured light stripe segmentation algorithms

Tianze Han; Xiaojuan Gao; Ping Li; Fuzhong Bai

doi:10.1117/12.2692044

6 November 2023 Comparison of line-structured light stripe segmentation algorithms

Tianze Han, Xiaojuan Gao, Ping Li, Fuzhong Bai

Proceedings Volume 12921, Third International Computing Imaging Conference (CITA 2023); 1292159 (2023) https://doi.org/10.1117/12.2692044
Event: Third International Computing Imaging Conference (CITA 2023), 2023, Sydney, Australia

Abstract

The line-structured light vision sensor is widely used in 3D reconstruction and scanning, quality inspection and other fields. In this technique, the segmentation of light stripe image is an important preprocessing steps, which separates light stripe and extract ROI from an original image. The segmentation of light stripe is the basis of centerline extraction and also affects the efficiency of centerline extraction. In our work, the 3D reconstruction of wood surface needs to be realized through using line-structured light sensor, and then the 3D defects need to be detected. The measured wood has a curved, rough and scattering surface. The acquired light stripe is relative complex. Several algorithms of image segmentation are studied, and the segmentation performance and operation efficiency are compared and analyzed, so as to help us find the optimum technique.

Citation Download Citation

Tianze Han, Xiaojuan Gao, Ping Li, and Fuzhong Bai "Comparison of line-structured light stripe segmentation algorithms", Proc. SPIE 12921, Third International Computing Imaging Conference (CITA 2023), 1292159 (6 November 2023); https://doi.org/10.1117/12.2692044

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