计算机科学
计算机视觉
稳健性(进化)
人工智能
伺服机构
伺服控制
伺服
图像处理
高动态范围
机器视觉
图像(数学)
动态范围
工程类
基因
控制工程
生物化学
化学
作者
Zhu-shun Ding,Xin Chen,Zhe Jiang,Cheng Tan
标识
DOI:10.1364/josaa.37.000056
摘要
We present a new method for automatic adjustment of camera exposure time for visual-servo systems. The proposed method can improve the robustness of image processing in a high-dynamic-range environment. In this paper, we evaluate an appropriate exposure time by computing the local gradient information of a target area, allowing a camera to capture images without losing target features under artificially adjusted illumination conditions. To validate the advantage of the proposed method, an evaluation is made using an off-the-shelf visual-servo system with a machine vision camera. The experimental results demonstrate the effectiveness of our method, which improves the performance of the target recognition algorithm.
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