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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可见性

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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 iuminance 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路面中对象的可见性的影响,经典方法包括选择感兴趣的对象来计算其亮度,其背景的偏光,然后是它们的可见性。实现这种方法来分析校准的数字图像并不容易,主要是因为必须任意分隔背景和计算非统一区域的亮度的必要性。在本文中,我们提出了一种评估复杂道路场景的数字图像的可见性的方法,而无需先验知识或假设关于场景中的物体及其亮度,或其背景的假设。该想法是使用分段技术来检测使物体可见的边缘,并计算这些边缘的本地对比度。结果,与另一个照明条件的影响明显了。在本文中,我们介绍了图像处理技术,以及样本结果。

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