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Assessment of visibility in complex road scenes using digital imaging

机译:使用数字成像评估复杂道路场景中的能见度

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In order to assess the impact of a lighting system on the visibility of objects in a complex road scene, a classic approach consists in selecting objects of interest to compute their luminance, the luminance of their background, and then their visibility level. Implementing this approach to analyze calibrated digital images is not easy, mostly because of the necessity to arbitrarily delimit backgrounds and to compute the luminance of non uniform regions. In this paper, we present a method to assess of visibility in digital images of complex road scenes without prior knowledge or assumption concerning the objects in the scene and their luminance, or that of their background. The idea is to use a segmentation technique to detect the edges which make the objects visible, and to compute the local contrast along these edges. The results give a clear picture of the impact of one lighting condition compared to another. In this paper, we present the image processing technique, along with sample results.
机译:为了评估照明系统对复杂道路场景中对象可见性的影响,一种经典方法是选择感兴趣的对象,以计算其亮度,背景亮度以及可见度。实施这种方法来分析校准的数字图像并不容易,主要是因为有必要任意划定背景并计算非均匀区域的亮度。在本文中,我们提出了一种无需复杂知识或假设就可以对复杂道路场景的数字图像中的可见性进行评估的方法,而无需事先了解或假设场景中的对象及其亮度或背景亮度。想法是使用分割技术来检测使对象可见的边缘,并计算沿这些边缘的局部对比度。结果清楚地显示了一种照明条件与另一种照明条件相比的影响。在本文中,我们介绍了图像处理技术以及示例结果。

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