Application of Vision-guided Robot by Improved Entropy Model

摘要：

To obtain better segmentation results for navigation path of vision-guided robot, this paper proposes a novel algorithm based on synthesis entropy segmentation. Firstly, image calibration and path image in HIS model are got. Secondly, synthesis entropy algorithm is designed to attain path image segmentation. Finally, time ant colony algorithm is adopted to optimize guide line edge segmentaion of path image. It can be concluded that path guide line of vision-guided robot under industry surrounding may be recognized accurately through this way.

关键词： vision-guided roboMmage segmentation entropy ant colony algorithm

作者: Peng Wang Jixiang Li Yuan Zhang Shiwei Yin

作者单位: Department of Mechanical & Power Engineering, Harbin Univ. of Sci. and Tech., Harbin 150080 China Co College of Automation, Harbin Univ. of Sci. and Tech, Harbin 150080 China Department of Mechanical & Power Engineering, Harbin Univ. of Sci. and Tech., Harbin 150080 China Harbin ZhongQing Gas Co.,Ltd, Harbin 150076 China

会议类型: 国际会议

会议名称: 2010 International Conference on Information Technology and Industrial Engineering(2010年信息技术与工业工程国际学术会议 ITIE 2010)

会议地点: 武汉

会议语种:英文

页码: 683-686

在线出版日期: 2010-06-06（万方平台首次上网日期，不代表论文的发表时间）