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一种自动对焦算法的优化

         

摘要

With the rapid development of digital camera, there is an increasingly higher demand of its usability and intelligentization. In order to improve the accuracy and simplicity of the image acquisition, a research on auto focus technology and algorithm is carried out. Based on focusing platform, and in the case of a certain evaluation function, optimization is carried out for climbing-method-driven algorithm step halving. With accuracy guaranteed the method can achieve faster autofocus, lower the demand on hardwares and save other resources. The results show that the optimization algorithm possesses certain advantages.%随着数码相机的飞速发展,在实际应用中对数码相机的易用性和智能化要求越来越高.为了提高图像采集的准确性和简便性,开展了自动对焦技术和算法的研究.通过对对焦平台的搭建,在评价函数一定的情况下,对爬山法驱动寻址算法步长减半进行了优化,在保证准确性的情况下,更快地实现了自动对焦,减少对硬件的要求,节省资源.结果表明,该优化算法有一定的优越性.

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