Abstract

The detection of surface weak scratches is an intractable but vital task in optics-centered industries. However, the intrinsic characteristics of weak scratches, such as a narrow width, long span, and shallow depth, make it extremely difficult to effectively detect these scratches. In this paper, we tackle this issue from two perspectives. First, a multimodal microscopic imaging system is created by combining discrete multispectral illumination with linear polarization. Imaging experiments demonstrated that this system could highlight more scratch details, improve image clarity, and alleviate the image blur problem induced by wide spectrum scattered lights. Second, a scratch-oriented U-shaped deep encoder–decoder network equipped with optimized residual encoding modules, serial–parallel multiscale fusion modules, and triple-convolution decoding modules is proposed to segment the weak scratches from a raw image. The detection experiments demonstrate that our model can accurately segment the weak scratches on optical surfaces and achieve better detection performance using significantly fewer parameters compared to similar deep learning models. Meanwhile, experiments on the building crack dataset prove the excellent generalization capability.

© 2023 Optica Publishing Group

Detection of weak micro-scratches on aspherical lenses using a Gabor neural network and transfer learning

Hong-Thai Nguyen, Yu-Ming Tsao, and Hsiang-Chen Wang
Appl. Opt. 61(20) 6046-6056 (2022)

Efficient surface defect identification for optical components via multi-scale mixed Kernels and structural re-parameterization

Xiao Liang, Hancen Zhen, Xuewei Wang, Jie Li, Yanjun Han, and Jingbo Guo
J. Opt. Soc. Am. A 40(6) 1107-1115 (2023)

Deep learning-based weak micro-defect detection on an optical lens surface with micro vision

Wennuo Yang, Meiyun Chen, Heng Wu, Zhengyang Lin, Deqing Kong, Shengli Xie, and Kiyoshi Takamasu
Opt. Express 31(4) 5593-5608 (2023)

Machine vision system based on a coupled image segmentation algorithm for surface-defect detection of a Si₃N₄ bearing roller

Dahai Liao, Mingshuai Yin, Hongbin Luo, Jun Li, and Nanxing Wu
J. Opt. Soc. Am. A 39(4) 571-579 (2022)

Automatic scratch detector for optical surface

Hong-Yan Zhang, Zi-Hao Wang, and Hai-Yan Fu
Opt. Express 27(15) 20910-20927 (2019)