摘要
随着激光技术的快速发展，激光器芯片在多个行业里都有广泛的应用，包括通信、激光加工以及医疗等。激光器芯片的性能是直接影响激光系统的关键，当激光器芯片存在缺陷，很有可能导致整个激光系统的稳定性与可靠性减弱，目前腔体缺陷作为影响激光器芯片使用效果的主要因素，需要在激光器芯片使用期间，详细对芯片腔体缺陷进行检测。但是，传统的激光器芯片腔体缺陷检测方法存在检测精度低、速度慢等问题，难以满足大规模生产和高质量要求。为此，本文将针对图像分割技术进行分析，确保能够对图像中目标区域进行准确分割，保障激光器芯片腔体缺陷检测的效果，为今后激光器芯片腔体缺陷检测提供全新方向。
关键词： 图像分割；激光器芯片；腔体缺陷；检测方法
Abstract
With the rapid advancement of laser technology, laser chips have found extensive applications across multiple industries including communications, laser processing, and medical fields. The performance of laser chips directly determines the stability and reliability of laser systems. Defects in laser chips can significantly compromise system performance, making cavity defects—the primary factor affecting chip functionality—critical for thorough inspection during operation. However, traditional detection methods suffer from low accuracy and slow speed, failing to meet mass production and high-quality requirements. This paper analyzes image segmentation techniques to ensure precise target area division in images, thereby enhancing defect detection effectiveness. These findings provide a novel approach for future laser chip cavity defect analysis.
Key words： Image segmentation; Laser chip; Cavity defect; Detection method
参考文献 References
[1] 周文超,邓婷,彭琛,曹玉龙,魏蔚,刘斯靓,王静.基于光腔衰荡大口径取样光学元件性能测试与缺陷分析[J].强激光与粒子束,1-7.
[2] 刘亚楠,佟存柱,汪丽杰,彭航宇,郑显达,郭英俊,季云菲,王延靖,陆寰宇.高功率低发散角905nm布拉格反射波导激光器[J].中国激光,1-15.
[3] 袁庆贺,朱盈盈,江向军,黄婷,刘素平,马骁宇.窄线宽内腔半导体激光器研究进展[J].激光与光电子学进展,1-24.
[4] 刘泽宇,胡佳其,王帅,叶建林,刘璐,郭阳阳,李豪,曾荣昌,任凌宝,单智伟.车用镁合金激光焊接质量控制及服役性能研究进展[J].稀有金属材料与工程,2025,54(05):1377-1396.
[5] 耿祥瑞,柴斌,刘舒杨,陈昱卓,李洋,黄俊昌.电子式电流互感器中供能激光器特征寿命研究[J].光学与光电技术, 2025,23(03):22-29.
[6] 谌潼,谢勤岚.用于3D医学图像分割的空间通道并行网络[J/OL].中南民族大学学报(自然科学版),1-8[2025-07-18].https://doi.org/10.20056/j.cnki.ZNMDZK.20250827.
[7] 窦伦伦.基于图像分割的激光器芯片腔体缺陷检测方法研究[D].太原理工大学,2023.
DOI:10.27352/d.cnki.gylgu.2023.002423.
[8] 宋忠林,闫娇,马韫韬,等.基于改进UNet模型的土壤CT图像分割方法[J/OL].土壤,1-10[2025-07-18].
https://doi.org/10.13758/j.cnki.tr.2025.03.018.