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Recognition of Garlic Cloves Orientation Based on Machine Vision

机译:基于机器视觉的大蒜瓣定位识别

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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密播种,保持大蒜处于直立位置,确保大蒜瓣的状态向上,本文采用机器视觉技术,收集大蒜图像预处理,图像分割,扩建,区域识别方法处理大蒜图像。使用OTSU算法进行图像,我们可以将大蒜图像与背景分开。基于大蒜的上部和下部之间的区域的不对称性。通过计算两部分的面积来识别大蒜的方向。实验结果表明,通过使用该算法,大蒜方向的公认准确性可以达到95.33%。它可以为未来的大谷物精密种植大蒜提供技术支持。

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