Recognition of jet modes in electrohydrodynamic direct-writing based on image segmentation

Abstract

The jet modes are directly related to the stable and accurate deposition in electrohydrodynamic direct writing. In order to analyze the state of the jet through the image, it is essential to segment the image into needle area, droplet area and jet area. The small feature scale, unclear boundary and fast response speed bring troubles to the region segmentation. An algorithm of region segmentation is proposed to achieve the region segmentation. A scan method is used to extract the needle area automatically and the open-operation is used to separate the droplet area and jet area. The characters of droplet and jet are analyzed to judge the mode of the jet, which directly reflects the stability of the ejection state. This work is beneficial to the real-time controlling of the EDW and the stability and uniformity of micro/nanofibers.