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红外 2010
Study of Focus Window Selection for Moving Target in Auto-focusing of Infrared Images
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Abstract:
Calculation of the auto-focusing evaluation function for infrared images is time-consuming and has a great influence on the real-time auto-focusing. By selecting the most important target area in an image as an auto-focusing evaluation object, the problem that the traditional focus window selection method is not suitable for moving targets can be solved effectively. To find the most important target area in an image effectively, a moving target focus window selection method based on template matching is proposed. With this method, the focus window can be shrinked and locked in the target area. Experimental results show that this method has the advantages of low calculation complexity and better pertinence etc. and its auto-focusing curve sensitivity is better.