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一种改进的自动聚焦算法
An improved auto-focusing algorithm
【摘要】 在日益自动化的今天,必须快速有效地实现图像测量的自动化.而要达到此目的,首先必须选择一个合适的图像自动聚焦评价函数.在研究了众多图像聚焦评价函数的基础上,发现梯度算子存在一些不足之处,为此将阈值引入到该算子中.经过大量的仿真实验,结果表明,引入阈值的算子的聚焦性能有了明显的改善,而且比其他的评价函数也更加准确、稳定、可靠.
【Abstract】 With the automatization increasing,the rapid and efficient auto-focusing in the measurement of images should be achieved.In order to realize this,an appropriate auto-focusing evaluation function for images should be chosen at frrstly.Based on the auto-focusing algorithms investigation,it is found that there are some flaws in the auto-focusing evaluation function of the Roberts gradient.So a threshold parameter into the algorithm is introduced.Based on careful experiments,it is found out that the Roberts algorithms with the parameter have evident improvements in accuracy,stability and reliability.
【Key words】 auto-focusing; the evaluation function; threshold; the roberts gradient;
- 【文献出处】 山东大学学报(理学版) ,Journal of Shandong University(Natural Science) , 编辑部邮箱 ,2006年05期
- 【分类号】TP391.41
- 【被引频次】16
- 【下载频次】228