文献类型：会议论文

英文题名：An Optimalizing Threshold Segmentation Algorithm for Road Images Based on Mathematical Morphology

作者：Xie, Shi-yi[1];Xu, Guo-bao[1,2];Yin, Yi-xin[2]

机构：[1]Guangdong Ocean Univ, Informat Sch, Zhanjiang 524088, Guangdong, Peoples R China;[2]Univ Sci & Technol Beijing, Sch Informat Engn, Beijing 100083, Peoples R China

会议论文集：3rd International Symposium on Intelligent Information Technology Application

会议日期：NOV 21-22, 2009

会议地点：Nanchang, PEOPLES R CHINA

语种：英文

外文关键词：optimalizing threshold; morphology; road segmentation; MAE

外文摘要：Considering the requirements of real time and robustness for the segmentation algorithms for mobile robots, an optimal threshold segmentation algorithm based on mathematical morphology was studied. Two improved measures, i.e., introducing an improved combination filter of median and multi-scale, and increasing morphological opening and closing operation, were proposed for the general optimal threshold segmentation algorithm. The experimental results indicated that the algorithm can not only accurately segment road and off-road regions within the unstructured road images that contain three common types of noise, but better overcome the influence of the road shadow, water marks, cracks and damage on the segmentation.