Pixelation Algorithm for Computing the Intersection of Connected Graphs in Intelligent Damage Recognition

Hang Li, Di Xiong, Yan Wang, Xinyuan Ma, Qianqian Zhu
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Abstract

Intelligent damage determination refers to the identification of the damage and parts of the vehicle in the picture and video through the image recognition algorithm, and then automatically output the damage of the vehicle. How to accurately judge the size of the damage on the vehicle components is an important step to get the damage of the vehicle. This problem is actually a solution to the intersection of two connected graphs. However, the existing algorithms can only solve some simple and special graphics. In practical applications, the shapes of damage and parts are changeable, and these algorithms can no longer meet the actual needs. This paper presents a universal algorithm for solving the intersection of connected graphs by pixelating the graph and according to the change law of the relative position relationship between the points on the plane and the graph. The algorithm has a wide range of applications and simple input requirements for graphics. The application results of simulation tests and actual scenes show that this algorithm can accurately calculate the intersection of concave polygons, holed polygons and other connected graphics, which has high practical application value.
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智能损伤识别中连通图交点的像素化算法
智能损伤判定是指通过图像识别算法对图片和视频中车辆的损伤和部位进行识别,然后自动输出车辆的损伤情况。如何准确判断车辆部件的损伤大小,是获得车辆损伤情况的重要步骤。这个问题实际上是两个连通图相交的解。然而,现有的算法只能解决一些简单和特殊的图形。在实际应用中,损伤和零件的形状是多变的,这些算法已经不能满足实际需要。本文根据平面上点与图的相对位置关系的变化规律,对图进行像素化处理,提出了一种求解连通图相交的通用算法。该算法适用范围广,图形输入要求简单。仿真测试和实际场景的应用结果表明,该算法能准确计算凹多边形、孔多边形等连通图形的相交,具有较高的实际应用价值。
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