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首页> 外文会议>IEEE International Conference on Power, Intelligent Computing and Systems >Dragon Fruit Disease Image Segmentation Based on FCM Algorithm and Two-Dimensional OTSU Algorithm
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Dragon Fruit Disease Image Segmentation Based on FCM Algorithm and Two-Dimensional OTSU Algorithm

机译：基于FCM算法和二维OTSU算法的火龙果图像分割

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摘要

The prevention and control of pitaya fruit is very important. In this paper, the pitaya fruit disease and disease spots are separated from the image to determine the type of pitaya fruit. When considering the image segmentation algorithm, we consider the small difference between the foreground and background of the image, and use the two-dimensional OTSU algorithm with the FCM algorithm for the segmentation algorithm. This paper conducts experiments on the sample pictures of the experimental base. The experimental results show that the improved algorithm has better segmentation effect and accuracy than the similar algorithms, and the edge information is preserved well, which has certain experimental value.
机译：火龙果的防控非常重要。本文从图像中分离出火龙果的病害和病斑，从而确定了火龙果的类型。在考虑图像分割算法时，我们考虑了图像的前景和背景之间的微小差异，并且将二维OTSU算法与FCM算法一起用于分割算法。本文对实验基地的样本图片进行实验。实验结果表明，与同类算法相比，改进算法具有更好的分割效果和准确性，边缘信息得到了很好的保留，具有一定的实验价值。

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