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CROP DISEASE LEAF IMAGE SEGMENTATION METHOD BASED ON COLOR FEATURES

机译:基于色彩特征的作物病叶图像分割方法

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摘要

The color feature has been taken an important role in color image segmentation, especially in the fields of automatic detection of crop disease based on leaf image. In this paper an effective method for image segmentation of cucumber leaf images is proposed. First, the color space model is analyzed. Then a kind of color feature is applied to obtain the feature map, which combines RGB model and HSI model. Finally, the morphological method is used to accomplish the image segmentation. This method has been shown effective through experiments.
机译:颜色特征已在彩色图像分割中发挥了重要作用,尤其是在基于叶图像的农作物病害自动检测领域。提出了一种有效的黄瓜叶片图像分割方法。首先,分析色彩空间模型。然后结合RGB模型和HSI模型,应用一种颜色特征获取特征图。最后,采用形态学方法完成图像分割。实验证明该方法有效。

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