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Acquisition of fruit region in green apple image based on the combination of segmented regions

机译:基于分割区域组合的青苹果图像中水果区域的获取

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To acquire the fruit region of green apple image in close color more completely, this work designed a method of region extraction before fruit region combination. Firstly, channel images in every color space were analyzed to determine appropriate color channel images: images of G and b color channel in RGB and Lab color spaces, respectively. Then, these images were segmented by K-means clustering to obtain segmented images of G and b color channel. Post-processing was conducted to different segmentation results. For example, open operation and micro-region elimination were conducted to segmented image of G color channel. The same processing was conducted to b color channel image after combining with above processed G color channel image and filling holes. Therefore, the target fruit region can be acquired completely. The validity of this method was verified by experiment.
机译:为了更完整地获取接近颜色的青苹果图像的水果区域,本文设计了一种在水果区域组合之前进行区域提取的方法。首先,分析每个颜色空间中的通道图像以确定合适的颜色通道图像:分别为RGB和Lab颜色空间中的G和b颜色通道的图像。然后,通过K-means聚类对这些图像进行分割,以获得G和b颜色通道的分割图像。对不同的分割结果进行了后处理。例如,对G色通道的分割图像进行开放操作和微区域消除。在与以上处理的G色通道图像组合并填充孔之后,对b色通道图像进行相同的处理。因此,可以完全获取目标水果区域。实验验证了该方法的有效性。

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