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VISION NAVIGATION BASED ON AGRICULTURAL NON-STRUCTURAL CHARACTERISTIC

机译:基于农业非结构性特征的视觉导航

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This paper studies the algorithm of extract navigation route by machine vision based on agricultural non-structural characteristic. Firstly, a new algorithm was used to detect the ending region of farmland based on cluster's method. Secondly, moving window was used to examine white pixels of the binary image to definite target regions. Thirdly, Improved Hough transformation was used to extract navigation routes. The experiment proved that this algorithm can accurately extract the column information of green crops. The average time required for processing a 320*240 pixels color image is 57.404ms and the accurate recognition rate reaches 99%.
机译:研究了基于农业非结构特征的机器视觉提取导航路径算法。首先,基于聚类的方法,采用一种新的算法对农田的末端区域进行检测。其次,使用移动窗口检查二进制图像的白色像素,以确定目标区域。第三,使用改进的霍夫变换提取导航路径。实验证明,该算法可以准确地提取绿色作物的栏目信息。处理320 * 240像素彩色图像所需的平均时间为57.404ms,准确识别率达到99%。

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