An efficient and robust corner detection algorithm for furniture boards

Long Chen; Junfeng Jiang; Hengliang Tang; Xiaohua Xie; Xiang Chen; Jing Liu

doi:10.1117/12.3033579

13 June 2024 An efficient and robust corner detection algorithm for furniture boards

Long Chen, Junfeng Jiang, Hengliang Tang, Xiaohua Xie, Xiang Chen, Jing Liu

Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 1318036 (2024) https://doi.org/10.1117/12.3033579
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China

Abstract

In the intelligent inspection of furniture boards, wood debris generated during manufacturing can interfere with the imaging process. This leads to burr disturbances at the corners of the boards. Existing corner detection methods exhibit lower detection accuracy under the interference of these disturbances. To overcome this issue, this paper presents a corner detection algorithm tailored for furniture boards that incorporates the Random Sample Consensus (RANSAC)algorithm and line fitting techniques based on the Huber loss function. To enhance detection efficiency, our algorithm initially identifies horizontal and vertical edges near a corner. This preliminary step facilitates subsequent corner detection. This study introduces a test dataset for evaluating the accuracy and efficiency of algorithms. A battery of comparative experiments, including benchmarks with conventional methods, were conducted. The results demonstrate that our algorithm significantly enhances the efficiency and robustness of corner detection under a variety of complex burr interference conditions.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Long Chen, Junfeng Jiang, Hengliang Tang, Xiaohua Xie, Xiang Chen, and Jing Liu "An efficient and robust corner detection algorithm for furniture boards", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 1318036 (13 June 2024); https://doi.org/10.1117/12.3033579

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KEYWORDS

Corner detection

Detection and tracking algorithms

Edge detection

Windows

Tunable filters

Image segmentation

Matrices

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