农业机械学报2012，Vol.43Issue(z1)：266-270,5.DOI:10.6041/j.issn.1000-1298.2012.S0.055
基于机器视觉的谷物联合收获机行走目标直线检测
Walking Goal Line Detection for Grain Combine Harvester Based on Machine Vision
摘要
Abstract
Aimed at visual navigation of grain combine harvester, an algorithm was proposed for walking goal line detection on improved Hough transform ( HT) on grain combine harvester. Through the improvement for image threshold segmentation of the 1-D maximum entropy, the computing speed was increased. After scanning the rows and columns of binary images, the end position of the walk goal line and the candidate points on the direction of the walk goal line were determined. Then the candidate points were used as points set, least squares methods and the end position of the goal line were combined to determine the point from the test line. The improved HT has finished the test line detection. Compared with the traditional HT, the improved HT transfers binary mapping into 1-D mapping, the computing speed was accelerated, and the space occupied was reduced. Meanwhile, the anti-interference ability was improved effectively. After testing thousands of pictures, the algorithm was well proved with effectively detecting the linear parameters, and the processing time was about 100 ms.关键词
联合收获机/机器视觉/Hough变换/直线检测/图像分割Key words
Combine harvester/ Machine vision/ Hough transform/ Line detection/ Image segmentation分类
信息技术与安全科学引用本文复制引用
吴刚,谭彧,郑永军,王书茂..基于机器视觉的谷物联合收获机行走目标直线检测[J].农业机械学报,2012,43(z1):266-270,5.基金项目
中央高校基本科研业务费专项资金资助项目(2012QJ010) （2012QJ010）
