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1. 中国科学院大学, 北京 100049
2. 中国科学院长春光学精密机械与物理研究所航空光学成像与测量重点实验室,吉林 长春,130033
Received:07 April 2013,
Revised:05 June 2013,
Published:15 December 2013
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王成艳, 刘晶红, 楚广生, 王宣. 图像场景区分与航空摄像机自动调光方法研究[J]. 液晶与显示, 2013,28(6): 948-954
WANG Cheng-yan, LIU Jing-hong, CHU Guang-sheng, WANG Xuan. Scene Distinguish and Aerial Camera Auto-Dimming[J]. , 2013,28(6): 948-954
王成艳, 刘晶红, 楚广生, 王宣. 图像场景区分与航空摄像机自动调光方法研究[J]. 液晶与显示, 2013,28(6): 948-954 DOI: 10.3788/YJYXS20132806.0948.
WANG Cheng-yan, LIU Jing-hong, CHU Guang-sheng, WANG Xuan. Scene Distinguish and Aerial Camera Auto-Dimming[J]. , 2013,28(6): 948-954 DOI: 10.3788/YJYXS20132806.0948.
针对航空摄像机在特殊场景(如背景较亮或较暗或存在较强干扰点时)下,传统的调光算法无法实现正确曝光现象,文章提出了基于场景区分的调光方法,即根据采集的图像确定其相应的场景,提取其目标区域控制摄像机的调光。通过场景区分的方法,使得目标区域更加清晰,如在一暗背景下,目标区域的灰度平均值由传统的调光方法拍摄的254.65调到124.39,信息熵提高了6.839;在一亮背景下,目标区域的灰度平均值由传统的调光方法拍摄的92.098调到106.99,信息熵提高了0.188。
When aerial camera is used for particular scene (such as lighter or darker background
or there is a strong interference point)
the traditional dimming algorithm will not be able to achieve the correct exposure.For this phenomenon
a method based on scene distinguish is proposed. First the target area is extracted according to the scene classification
then the information of the target area is returned in order to control the exposure time of the camera. According to this method
the quality of the image is improved. For example
the gray value of the target area decreased from 254.65 to 124.39 in a darker background
and the information entropy is increased by 6.839; the gray value of the target area increased from 92.098 to 106.99 in a lighter background
and the information entropy is increased by 0.188.
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