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Studies on Wheat Pests Image Segmentation Based on Variational Level Set

机译:基于变分水平集的小麦害虫图像分割研究

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In order to get better wheat pests outline, wheat pests image is segmented by variational level set method in this paper. This kind of level set function corrects the deviation between the level set function and the signed distance function, and it needn't re-initialization during the evolution, so it completely eliminates the procedure of level set re-initialization and improves the efficiency of image segmentation. The effectiveness of this method is verified by MATLAB simulation experiments.
机译:为了获得更好的小麦害虫轮廓,本文采用变分水平集方法对小麦害虫图像进行了分割。这种水平集功能可以校正水平集功能和有符号距离函数之间的偏差,并且在进化过程中无需重新初始化,从而完全消除了水平集重新初始化的过程,提高了图像的效率。分割。 MATLAB仿真实验验证了该方法的有效性。

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