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Recognition of Garlic Cloves Orientation Based on Machine Vision

机译:基于机器视觉的蒜瓣方位识别

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摘要

In order to realize the garlic single grain precision seeding, keep the garlic in an upright position, ensure the state of the garlic cloves upward, this paper uses machine vision technology, the collected garlic image preprocessing, image segmentation, expansion, area recognition method to process garlic images. Using the Otsu algorithm to segment the image, we can separate the garlic image from the background very well. Based on the asymmetry of the area between the upper part and the lower part of the garlic. The direction of the garlic is identified by calculating the area of two parts. The experimental results show that the recognized accuracy of garlic's direction could reach to 95.33% by using this algorithm. And it can provide technical support for future single-grain precision planting of garlic.
机译:为了实现大蒜单粒精确播种,使大蒜保持直立位置,确保蒜瓣向上的状态,本文采用机器视觉技术,对收集到的大蒜图像进行预处理,图像分割,扩展,面积识别等方法处理大蒜图像。使用Otsu算法对图像进行分割,我们可以很好地将大蒜图像与背景分离。基于大蒜上部和下部之间区域的不对称性。通过计算两部分的面积来确定大蒜的方向。实验结果表明,采用该算法可以使大蒜的方向识别准确率达到95.33%。并为将来单粒大蒜的精密种植提供技术支持。

著录项

  • 来源
  • 会议地点 Changshu(CN)
  • 作者单位

    College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an 271018, China;

    Shandong Provincial Key Laboratory of Horticultural Machinery and Equipment, Tai'an 271018, China;

    Shandong Provincial Key Laboratory of Horticultural Machinery and Equipment, Tai'an 271018, China;

    College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an 271018, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Machine vision; Otsu algorithm; Garlic;

    机译:机器视觉大津算法;大蒜;

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