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.

中文翻译：

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使用局部渐变信息的基于图像的视觉伺服系统的自适应曝光控制。

我们提出了一种自动调整视觉伺服系统的相机曝光时间的新方法。所提出的方法可以提高在高动态范围环境下图像处理的鲁棒性。在本文中，我们通过计算目标区域的局部梯度信息来评估适当的曝光时间，从而使相机能够在不人为调整的照明条件下捕捉图像而不会失去目标特征。为了验证所提出方法的优势，使用带有机器视觉相机的现成视觉伺服系统进行了评估。实验结果证明了该方法的有效性，提高了目标识别算法的性能。