Abstract
It is the key step for real-time image processing of beacon to complete the pointing, acquisition and tracking course between the optical communication terminals. The segmentation and extraction of beacon is the most difficult problem for the sequence image processing, a kind of adaptive threshold segmentation method is put forward on the basis of Otsu algorithm , in the improved algorithm, the image processing is divided into two parts: firstly, it is to identify potential target in a single frame; the secondly, it is to detect beacon image in a region of interesting . Finally, the kalman model is applied to accomplish the tracking of beacon, the experimental result shows that the Otsu algorithm overcomes the disadvantage of incomplete information for traditional algorithm, therefore, it is beneficial to improve the tracking ability of system．
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