The Develop Of The Detection System For Visual Foreign Substance Based On Image Sequence

Medical infusion is a wide range of important clinical application. The detection of foreign objects in the solution directly related to patients'safety. Therefore the efficient automated detection of foreign objects online can be seen as the urgent need of large-scale production for a modern enterprise. The research object of the detection system based on image sequence in infusion are the visible foreign objects contained in the infusion,which can implements smart visible foreign objects inspection online. In this paper, the entire system structure was designed and described.In the structure, the technology and the software implementation are mainly researched, including the applications of the Mean shift algorithmFirstly, the application of machine vision in industry inspection is represented and the type of machine vision system is analyzed, whose characteristics are compared. A variety of practical ways in the lighting before lighting technology and image acquisition technology are a comprehensive discussion in machine vision system. The visual transmission system, lighting system, remove module and electrical automatic control system are designed. This paper shows the overall design program of foreign objects detection system in infusion.Secondly, the infusion imaging system theory and its algorithm are researched. The camera calibration, motion inspection and the identity of foreign objects are discussed, and a linear model for camera calibration is used.As for the movement of particles uncertainty, we combined with background model method and the inter-frame difference methodFor the small foreign objects motion detection, A normalized cross correlation is used to obtain the frame, based on that the background is estimated from the first frame by inter-frame difference, and small moving objects are extracted from each frame. And the normalized cross-correlation coefficient based on the difference images is as an evaluation to obtain the background model by the frame difference method. Then all the frames and the background model derived from subtract to have the frame of the moving target In order to improve identification accuracy, an adapted mean shift tracker is adopted to find falling foreign objects. In order to verify the practical feasibility of the algorithm, we have verified the effectiveness and feasibility of the algorithm. in Visual C++and MATLAB platformFinally, the software for inspection of foreign objects in transfusion bottles was developed...