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《Chinese Journal of Scientific Instrument》 2008-03
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Research on key technology of automatic pharmaceutical container inspection machine based on machine vision

Yang Fugang1 , Sun Tongjing1 , Song Songlin2(1 School of Control Science and Engineering, Shandong University, Jinan 250061, China)(2 Shandong Xinhua Medical Instrument Co., Ltd, Zibo 255000, China)  
To detect visual particles in liquid in pharmaceutical containers on line, an intelligent automatic inspection machine based on machine vision was designed. First, image pre-processing techniques such as morphological filtering and multi-frame difference were used to restrain most of the background noise. Then some invariant features of the objects in the images were extracted. Through matching these features in adjacent frames the hypothetic motion trajectories of the objects were obtained. Finally, the existence of visual particles is determined according to the continuity and smooth characteristics of the trajectories of foreign bodies. A prototype inspection machine was developed and tested on a pharmaceutical production line. Experiment results show that the recognition accuracy and speed of the machine are higher than the skilled workers.
【Fund】: 山东省自然科学基金(Z2006F05)资助项目
【CateGory Index】: TP274
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