基于标记信息的Hough变换检测早期的作物行中心线

    Crop-row detection using Hough transform based on connected component labeling

    • 摘要: 作物行检测是一个难题,回顾了国内外的研究情况。针对农田作物种植和作物早期生长的特点,为了检测作物行位置,提出了一种基于标记信息的Hough提取作物行方法。该方法分别用直方图法和最大类间方差法二值化图像后,经过8连通区域标记后据其面积属性去除噪声,然后再经一次标记后找出各标记作物的重心点坐标,最后通过Hough变换检测过重心点的直线,即到得到过作物行的中心线,试验结果表明了该方法的有效性。

       

      Abstract: Crop-row detection is a dilemma, which was widely studied in the world. In this article, research on crop-row detection was reviewed and the characteristics of field crop planting and its early growth information were described. To detect the position of crop-rows, a method based on Hough transform and connected component labeling was put forward. First, a true color image of field crops was processed with gray histogram and OSTU respectively. Then the noises in the image were eliminated by means of eight connected component labeling according to their areas. The centroid coordinates of each labeled crop were computed after the second labeling, through which the center line of the crop-row was regressed by Hough transform. Experimental results show that the method is effective.

       

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