首页> 外文期刊>Modern Physics Letters, B. Condensed Matter Physics, Statistical Physics, Applied Physics >Method to acquire regions of fruit, branch and leaf from image of red apple in orchard
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Method to acquire regions of fruit, branch and leaf from image of red apple in orchard

机译:从果园里的红苹果图像获得水果,分支和叶子区域的方法

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摘要

This work proposed a method to acquire regions of fruit, branch and leaf from red apple image in orchard. To acquire fruit image, R-G image was extracted from the RGB image for corrosive working, hole filling, subregion removal, expansive working and opening operation in order. Finally, fruit image was acquired by threshold segmentation. To acquire leaf image, fruit image was subtracted from RGB image before extracting 2G-R-B image. Then, leaf image was acquired by subregion removal and threshold segmentation. To acquire branch image, dynamic threshold segmentation was conducted in the R-G image. Then, the segmented image was added to fruit image to acquire adding fruit image which was subtracted from RGB image with leaf image. Finally, branch image was acquired by opening operation, subregion removal and threshold segmentation after extracting the R-G image from the subtracting image. Compared with previous methods, more complete image of fruit, leaf and branch can be acquired from red apple image with this method.
机译:这项工作提出了一种从果园里的红苹果图像获得水果,分支和叶子的方法。为了获得果实图像,从RGB图像中提取R-G图像以进行腐蚀性工作,孔填充,子区域去除,膨胀的工作和打开操作。最后,通过阈值分割获取果实图像。为了获得叶片图像,在提取2G-R-B图像之前从RGB图像中减去果实图像。然后,通过子区域去除和阈值分割获取叶图像。为了获得分支图像,在R-G图像中进行动态阈值分割。然后,将分段图像添加到果图像中以获取添加果实图像,其与叶图像从RGB图像中减去。最后,通过在从减法图像中提取R-G图像之后通过打开操作,子区域去除和阈值分割来获取分支图像。与以前的方法相比,可以通过这种方法从红苹果图像中获取更完整的水果图像,叶子和分支。

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