- 期刊
Application of Subpixel Edge Detection in Laser Spot Image Detection and Control
摘要
The low accuracy of pixel-level edge detection leads to large errors in the measurement of light spots. For this reason, a high-precision measurement method for light spots based on sub-pixel edge detection is proposed. The method assumes that the grey value of the pixel unit through which the edge of the object passes is discontinuous, and builds a model in the rectangular neighbourhood of each edge pixel unit, which is positioned by the improved grey moment sub-pixel algorithm, which makes the accuracy improve again. The experimental results show that the detection accuracy of the improved grey moment sub-pixel algorithm is high which verifies that the method has high stability and accuracy.
參考文獻
Zheng E, Zhong B. Anisotropic Multi-Scale Edge Detection Algorithm. LASER Optoelectron Prog. 2022;59(4):0412002. doi:10.3788/LOP202259.0412002.
Shi Z, Fang Y, Wang X. Research Progress in Gear Machine Vision Inspection Instrument and Technology. LASER Optoelectron Prog. 2022;59(14):1415006. LASER Optoelectron Prog. 2022;59(14): 1415006. doi:10.3788/LOP202259.1415006.
Chen Z, Deng J, Zhu Q, Wang H, Chen Y. A Systematic Review of Machine-Vision-Based Leather Surface Defect Inspection. ELECTRONICS. 2022;11(15):2383. ELECTRONICS. 2022;11(15):2383. doi:10.3390/electronics11152383.
Zhu Q, Zhang Y, Luan J, Hu L. A Machine Vision Development Framework for Product Appearance Quality Inspection. Appl Sci-BASEL. 2022;12(22):11565. doi:. 10.3390/app122211565.
Rathod JM, Salehi HS. Vision system with deep learning classifiers for automatic quality inspection. in: Alam MS, ed. PATTERN RECOGNITION AND TRACKING XXXI. vol 11400. proceedings of SPIE. spie-Int Soc Optical Engineering; 2020:1140009. doi:10.1117/12.2555032.