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Recognition and Localization Method of Overlapping Apples for Apple Harvesting Robot

机译:苹果收获机器人重叠苹果的识别与定位方法

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In order to meet the speed requirements of harvesting robot, a method of tracking and recognition of overlapping apples is proposed in this paper. First of all, the first image should be segmented and denoised, the center and the radius is determined, the template which is used for matching is extracted according to the center and radius. Then, determine the center of ten images which are taken continuously, fit motion path of the robot according to the center of each image and predict subsequent motion path. The next processing area is determined according to the radius and predicted path. Finally, overlapping apples are identified by fast normalized cross correlation match method. Experiments prove that the new method can locate the center and radius of overlapping apples correctly. Besides, matching time is reduced by 48.1 % compared with the original one.
机译:为了满足收割机器人的速度要求,提出了一种对重叠苹果进行跟踪和识别的方法。首先,应该对第一幅图像进行分割和去噪,确定中心和半径,并根据中心和半径提取用于匹配的模板。然后,确定连续拍摄的十个图像的中心,根据每个图像的中心拟合机器人的运动路径,并预测后续的运动路径。根据半径和预测路径确定下一个处理区域。最后,通过快速归一化互相关匹配方法识别出重叠的苹果。实验证明,该方法可以正确定位重叠苹果的中心和半径。此外,匹配时间比原始匹配时间减少了48.1%。

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