Infrared and Laser Engineering, Volume. 49, Issue 3, 0303020(2020)
Depth estimation in computational ghost imaging system using auto-focusing method with adaptive focus window
Fig. 2. DBC curves and the first derivative of DBC curves with different sampling numbers when the object is a double-slit. (a) 5000 samplings; (b) 2000 samplings
Fig. 4. Over-segmented image of object ‘5’ and diagram of windows expansion. (a) object image '5', the top right corner is the selected a priori background window; (b) Over-segmented image; (c) Diagram of windows expansion, where the shaded area is an incremental window (d)-(f) unifying the adaptive windows ; (g) table of parameters目标‘5’的过分割图像以及窗口扩展方式示意图。(a) 重构图像目标‘5’,右上角为选定的先验背景窗口;(b) 过分割的图像;(c)窗口扩展方式示意图,其中阴影部分为增量窗口 ;(d)-(f)统一窗口示意图;(g)参数示意图
Fig. 5. Searching processes of object’3’and object’4’; Adaptive windows in each iterations. (a), (c) Searching processes of object’3’and object’4’; (b), (d) Adaptive windows in each iterations
Fig. 6. The first derivative of DBC curves of object ‘3’and object’4’based on traditional fixed focus window and proposed adaptive windows with 5 000 samplings. (a) object’3’; (b) object’4’目标‘3’和目标‘4’在采样数 时传统固定对焦窗口算法和自适应对焦窗口算法的DBC离散一阶导数曲线。(a)目标‘3’;(b)目标‘4’
Fig. 7. The first derivative of DBC curves of object ‘3’and object’5’ based on traditional fixed focus window and proposed adaptive windows with 2 000 samplings. (a) object’3’;(b) object’5’目标‘3’和目标‘5’在采样数 时传统固定对焦窗口算法和自适应对焦窗口算法的DBC离散一阶导数曲线。(a)目标‘3’;(b)目标‘5’
Fig. 8. Verify the proposed method with low samplings. (a), (c) The images of objects reconstructed at their axial positions (reference images); (b), (d) images of objects reconstructed using the adaptive focusing windows.
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Feng Shi, Daquan Yu, Zitao Lin, Shuning Yang, Zhuang Miao, Ye Yang, Wenwen Zhang. Depth estimation in computational ghost imaging system using auto-focusing method with adaptive focus window[J]. Infrared and Laser Engineering, 2020, 49(3): 0303020
Received: Nov. 3, 2019
Accepted: --
Published Online: Apr. 22, 2020
The Author Email: Zhang Wenwen (zhangww@njust.edu.cn)