Fast and Massive Pixel-Level Morphology Detection by Imaging Processing for Inkjet Printing
Haoyang Zhang,
Da Xu,
Shanrong Ke,
Meicong Huang,
Yaling Chai,
Yi Lin,
Ziquan Guo,
Zhong Chen
Affiliations
Haoyang Zhang
Department of Electronic Science, School of Electronic Science and Engineering (National Model Microelectronics College), Xiamen University, Xiang’An Campus, Xiamen 361102, China
Da Xu
Department of Electronic Science, School of Electronic Science and Engineering (National Model Microelectronics College), Xiamen University, Xiang’An Campus, Xiamen 361102, China
Shanrong Ke
Department of Electronic Science, School of Electronic Science and Engineering (National Model Microelectronics College), Xiamen University, Xiang’An Campus, Xiamen 361102, China
Meicong Huang
Department of Electronic Science, School of Electronic Science and Engineering (National Model Microelectronics College), Xiamen University, Xiang’An Campus, Xiamen 361102, China
Yaling Chai
College of Materials Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China
Yi Lin
Department of Electronic Science, School of Electronic Science and Engineering (National Model Microelectronics College), Xiamen University, Xiang’An Campus, Xiamen 361102, China
Ziquan Guo
Department of Electronic Science, School of Electronic Science and Engineering (National Model Microelectronics College), Xiamen University, Xiang’An Campus, Xiamen 361102, China
Zhong Chen
Department of Electronic Science, School of Electronic Science and Engineering (National Model Microelectronics College), Xiamen University, Xiang’An Campus, Xiamen 361102, China
With the rapid development of the emerging intelligent, flexible, transparent, and wearable electronic devices, such as quantum-dot-based micro light-emitting diodes (micro-LEDs), thin-film transistors (TFTs), and flexible sensors, numerous pixel-level printing technologies have emerged. Among them, inkjet printing has proven to be a useful and effective tool for consistently printing micron-level ink droplets, for instance, smaller than 50 µm, onto wearable electronic devices. However, quickly and accurately determining the printing quality, which is significant for the electronic device performance, is challenging due to the large quantity and micron size of ink droplets. Therefore, leveraging existing image processing algorithms, we have developed an effective method and software for quickly detecting the morphology of printed inks served in inkjet printing. This method is based on the edge detection technology. We believe this method can greatly meet the increasing demands for quick evaluation of print quality in inkjet printing.
