No abstract

Contact angle measurement is very important in determining the liquid-solid affinity properties of materials. In recent years, many advances have been made in the research of contact angle automatic measurement algorithms, but most of the existing image processing and analysis algorithms are very sensitive to changes in the characteristics of the target, including the light source illumination angle, brightness, and the tangent of the camera lens axis to the target point Factors such as error will affect the measured contact angle. This paper proposes a key improvement technique, using the MOG background subtraction technology to realize that only the edge of the morphology after the final stabilization of the droplet is reduced, which reduces the serious interference of the mirror image of the droplet on the smooth material surface on the measured value. This method has achieved accurate fitting of the droplet contour circle, avoiding the use of measurement parameters with large errors to calculate. The algorithm has many advantages, in particular, it has noise resistance to changes in the shape, size and position of the sample, has good robustness, and has low calculation cost and fast speed. The measurement results are very similar to the manual marking of manual optical measurement High consistency.

WSDM, as a new way of wireless channel multiplexing, could be widely used in communication anti-jamming. WSDM separates the mixed signal and extracts the signal which is needed. As we all know, most communication signals are cyclostationarity. This property could be used as the prior information to extract the useful signal more correctly. In this paper, we propose a new algorithm which could extracts concerned signal by making use of the cyclostationarity. Theory analysis and computational simulation show that the proposed algorithm can recover signal correctly and dispose the interferences which are often in use to jam the communication system