计算机与数字工程2016，Vol.44Issue(4)：720-724,5.DOI:10.3969/j.issn.1672-9722.2016.04.035
基于直线模型的路径图像检测算法研究
Path Detection Algorithm Based on Linear Model
潘涛 1吴晓波 1周晓龙 2张先超1
作者信息
- 1. 后勤工程学院后勤信息与军事物流工程系 重庆 401311
- 2. 中国石油集团测井有限公司 鄯善 838202
- 折叠
摘要
Abstract
Path recognition is one of the key technologies of automatic guided vehicle based on image processing .A path detection algorithm based on linear road model is developed .An improved Otsu is used to segment the path image in the algo‐rithm ,while a fast median fitering and Sobel operator are adopted to remove point‐like noise and extract path edge informa‐tion .In order to extract the center line parameter of navigation path more accurately ,central line fitting algorithm is pro‐posed .Finally ,the path detection and parameter extraction are realized by using the probabilistic Hough transform .The ex‐perimental results show that this algorithm can detect the navigation path parameters accurately and has good real‐time per‐formance .关键词
路径识别/Otsu 阈值/Sobel 算子/Hough 变换Key words
path recognition/Otsu threshold/Sobel operater/Hough transform分类
信息技术与安全科学引用本文复制引用
潘涛,吴晓波,周晓龙,张先超..基于直线模型的路径图像检测算法研究[J].计算机与数字工程,2016,44(4):720-724,5.
