首页> 外文会议>International symposium on multispectral image processing and pattern recognition;MIPPR 2009 >A new method for automatic detection of rut feature based on road laser images
【24h】

A new method for automatic detection of rut feature based on road laser images

机译:基于道路激光图像的车辙特征自动检测新方法

获取原文

摘要

There are some disadvantages existing in traditional artificial method of detecting road rut feature, such as consuming time, consuming energy, low accuracy and danger. In order to solve those problems listed above, a new method of detecting features automatically based on the laser image processing technology is proposed. The first step is to start pretreatments such as fuzzy compensating and enhancing the original images. Then adopting an improved watershed serial segmentation method, we can get binary segmentation images. Used multi-level filtering technology combined with statistical methods, the accurate road rut feature can be got. It has been proved by experiments that the detection method has high accuracy and stability.
机译:传统的人工检测道路车辙特征存在一些弊端,如耗时,耗能,精度低,危险等。为了解决上述问题,提出了一种基于激光图像处理技术的特征自动检测新方法。第一步是开始预处理,例如模糊补偿和增强原始图像。然后采用改进的分水岭序列分割方法,可以得到二值分割图像。使用多级过滤技术结合统计方法,可以获得准确的道路车辙特征。实验证明,该检测方法具有较高的准确性和稳定性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号