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vehicle, image processing system, bildverarbeitungsverfahren, bildverarbeitungsprogramm, a bildverarbeitungssystems welfare

机译:车辆,图像处理系统,图像处理方法,图像处理程序,图像处理系统福利

摘要

PROBLEM TO BE SOLVED: To provide an image processing system or the like capable of recognizing lane marks in an image of a road surface with high accuracy even if the state of light irradiated on the road surface varies partially.;SOLUTION: Using the image processing system 100 mounted on a vehicle 10, the color components Rij, Gij, Bij of a first pixel Pij included in an area Aij set in an image of a road surface are corrected on the basis of the color components Rik, Gik, Bik of a second pixel Pik, in view of the fact that the color components of the second pixel included in the area along with the first pixel are also highly likely to be affected by shadows or light in the portion of the road surface. In this way, the influence of shadows or light on the road surface is reduced and the actual colors of the portion of the road surface corresponding to the first pixel are fully reflected on the color components Rij, Gij, Bij of the first pixel Pij and also on a characteristic quantity Qij. Based on the characteristic quantity Qij of each pixel Pij in the image of the road surface, a lane mark M and its edge E are recognized in the image of the road surface.;COPYRIGHT: (C)2007,JPO&INPIT
机译:解决的问题:提供一种即使在照射在路面上的光的状态发生部分变化的情况下,也能够高精度地识别路面图像中的车道标记的图像处理系统等。在安装在车辆10上的系统100中,基于路面的图像中的颜色分量Rik,Gik,Bik校正包括在设置在路面图像中的区域Aij中的第一像素Pij的颜色分量Rij,Gij,Bij。考虑到第二像素Pik与该第一像素一起包括在该区域中的第二像素的颜色分量也很可能受到路面的该部分中的阴影或光的影响这一事实。这样,减少了阴影或光对道路表面的影响,并且道路表面的与第一像素相对应的部分的实际颜色被完全反映在第一像素Pij和Bij的颜色分量Rij,Gij,Bij上。还具有特征量Qij。基于路面图像中每个像素Pij的特征量Qij,在路面图像中识别出车道标记M及其边缘E。版权所有:(C)2007,JPO&INPIT

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