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Autofocus window selection algorithm based on saliency detection
Chen, Guang1,2; Fan, Xuewu1
2018
会议名称6th International Conference on Optical and Photonic Engineering, icOPEN 2018
会议录名称Sixth International Conference on Optical and Photonic Engineering, icOPEN 2018
卷号10827
会议日期2018-05-08
会议地点Shanghai, China
出版者SPIE
产权排序1
摘要

Focus window selection is a very important step in the process of Auto-Focusing(AF). This paper proposes a new method for the selection of focus window, where a fast AF window selection algorithm based on image saliency region extraction is used to cut down the computation time and overcome the disturbance of the background in the automatic focusing system. Firstly, the salient object detection method based on the Minimum Barrier Plus(MB+) Transform algorithm is utilized to calculate the salient regions of the image in order to obtain a feature map. Secondly, a threshold method is used to de-noise the feature map. Then, correlation treatment method and boundary expansion method are used to build the focus window, of which the size and position are self-adaptive with the target. To the end, in this study, a comparison is made between the commonly used algorithm and the introduced window selection algorithm based on the improved MB + saliency detection in terms of accuracy and computation time. The result obtained indicates that our algorithm has better performance in highlighting the potential focus targets. And its better accuracy and less computation time make it suitable for tasks in general scenes and complex backgrounds. © 2018 SPIE.

作者部门空间光学应用研究室
DOI10.1117/12.2500193
收录类别EI
ISBN号9781510622562
语种英语
ISSN号0277786X
EI入藏号20183305684091
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/30570
专题空间光学应用研究室
作者单位1.Xi'An Institute of Optics and Precision Mechanics Chinese Academy of Sciences, Xi'an; 710119, China;
2.University of Chinese Academy of Sciences, Beijing; 100049, China
推荐引用方式
GB/T 7714
Chen, Guang,Fan, Xuewu. Autofocus window selection algorithm based on saliency detection[C]:SPIE,2018.
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