【Surface Detection】Segmentation-Based Deep-Learning Approach for Surface-Defect Detection 物体表面缺陷检测现状 传统机器学习局限性 传统机器学习方法对于特定的算法只能解决特定的问题,不够灵活,无法快速适应新产品; 不同的问题有不同的特征,当需要解决新问题时,需要重新设计特征,开发周期长; 深度学习遇到的问题 训...
论文阅读笔记《Segmentation-based deep-learning approach for surface-defect detection》,程序员大本营,技术文章内容聚合第一站。
Surface-defect detectionVisual inspectionQuality controlDeep learningComputer visionSegmentation networksIndustry 4.0Automated surface-anomaly detection using machine learning has become an interesting and promising area of research, with a very high and direct impact on the application domain of visual ...
论文阅读- Segmentation-Based Deep-Learning Approach for Surface-Defect Detection,程序员大本营,技术文章内容聚合第一站。
Segmentation-Based Deep-Learning Approach for Surface-Defect(2019.06) 这篇论文主要是利用分割模型和分类模型进行表面瑕疵的检测,主要优势为:只需要25-30个有缺陷的样本就可完成分类,所用样本极少。 从目标检测、目标追踪最先进的文献来看,效果最好的模型都是建立在分割(segmentation)的基础上,像目标检测中的Mask R...
Automated surface-anomaly detection using machine learning has become an interesting and promising area of research, with a very high and direct impact on the application domain of visual inspection. Deep-learning methods have become the most suitable approaches for this task. They allow the inspectio...
(秒杀 DeepLabV3+ 和Unet 的缺陷检测网络) A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection" - sunchuanxi/Deep-Learning-Approach-for-Surface-Defect-Detection
FPGA-accelerated textured surface defect segmentation based on complete period Fourier reconstructionComplete period truncationOne-dimensional Fourier reconstructionResamplingFPGA accelerationLCD defect segmentationReal-time detection of surface defects in high-generation, large-size Liquid Crystal Display (LCD) ...
20 proposed a segmentation-based of deep learning model to detect the surface defect region. Liu et al.21 presented a U-shaped deep residual neural network for detecting the quality of conductive particles on the process of TFT-LCD manufacturing. The results gave been shown that the proposed ...
Segmentation-based deep-learning approach for surface-defect detection J. Intell. Manuf., 31 (3) (2020), pp. 759-776, 10.1007/s10845-019-01476-x View in ScopusGoogle Scholar [59] S. Liu, W. Deng Very deep convolutional neural network based image classification using small training sample...