Corn Row Navigation Line Extraction Method Based on the Adaptive Edge Detection Algorithm

IF 0.8 Q3 ENGINEERING, MULTIDISCIPLINARY

International Journal of Engineering Research in Africa Pub Date : 2023-06-19 DOI:10.4028/p-2s3184

Shengyu Ji, Yan Fei Zhang, Jinliang Gong

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引用次数: 0

Abstract

Aiming at the problems of long detection time and large detection error when agricultural machinery extracts corn row navigation lines, a method of corn row navigation line extraction based on the adaptive edge detection algorithm is proposed. First, the improved super-green feature algorithm and the maximum inter-class variance method are used to automatically obtain the green feature binary image, and the morphological processing is used to improve the image quality, determining dynamic regions of interest by constraining pixel thresholds, extraction of corn edge contour using adaptive edge detection algorithm, finally, the feature points are fitted by the Theil-Sen estimation method. Experimental results show: the super-green feature algorithm reflects the green content in the image more realistically, using the adaptive edge detection algorithm to extract corn row features, the accuracy rate is 94%, and the processing time of a single frame image is 104ms. Compared with the Hough algorithm extraction and the vertical projection algorithm, the navigation line extraction accuracy is increased by 15% and 8% respectively, and the time-consuming is reduced by 258ms and 150ms respectively. In addition, the stability of the algorithm is analyzed in different environments, all with good timeliness.

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基于自适应边缘检测算法的玉米行导航线提取方法

针对农机提取玉米行导航线时检测时间长、检测误差大的问题，提出了一种基于自适应边缘检测算法的玉米行导航线提取方法。首先，采用改进的超绿色特征算法和最大类间方差法自动获取绿色特征二值图像，并采用形态学处理提高图像质量，通过约束像素阈值确定动态感兴趣区域，采用自适应边缘检测算法提取玉米边缘轮廓，最后采用Theil-Sen估计方法拟合特征点。实验结果表明:超绿特征算法更真实地反映了图像中的绿色内容，采用自适应边缘检测算法提取玉米行特征，准确率为94%，单帧图像处理时间为104ms。与霍夫算法提取和垂直投影算法相比，导航线提取精度分别提高15%和8%，耗时分别减少258ms和150ms。此外，还对算法在不同环境下的稳定性进行了分析，均具有较好的时效性。

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来源期刊

International Journal of Engineering Research in Africa ENGINEERING, MULTIDISCIPLINARY-

CiteScore

1.80

自引率

14.30%

发文量

期刊介绍： "International Journal of Engineering Research in Africa" is a peer-reviewed journal which is devoted to the publication of original scientific articles on research and development of engineering systems carried out in Africa and worldwide. We publish stand-alone papers by individual authors. The articles should be related to theoretical research or be based on practical study. Articles which are not from Africa should have the potential of contributing to its progress and development.