Detection method of organic light-emitting diodes based on small sample deep learning
by Hua Qiu, Jin Huang, Yi-Cong Feng, Peng Rong
In order to solve the surface detection problems of low accuracy, low precision and inability to automate in the production process of late-model display panels, a little sample-based deep learning organic light-emitting diodes detection model SmartMuraDetection is proposed. First, aiming at the detection difficulty of low surface defect contrast, a gradient boundary enhancement algorithm module is designed to automatically identify and enhance defects and background gray difference. Читать дальше...