This paper proposes a new region based segmentation method based on cloud model in order to take uncertainty into account in image segmentation.
针对区域分割方法中存在的不确定性问题，提出了一种基于云模型的区域分割方法。
The paper put forward a new method of image segmentation based on cloud model.
文章提出了一种新办法的形象分割基于云模型。
Lastly, the experiments proved the method of image segmentation based on cloud model is better than the method based on fuzzy K means cluster and the method based on K means.
最后，试验证实了图像分割办法基于云模型比该办法基于模糊凯西意味着聚类和办法基于凯西的办法。
This paper researches qualitative and quantitative transformation model-cloud model in uncertain artificial intelligence in order to solve uncertain questions which exist in image segmentation.
论文针对图像分割中存在的不确定性问题，通过研究不确定性人工智能中定性和定量的转换模型—云模型，提出一种新的基于云模型的图像分割方法。
This paper researches qualitative and quantitative transformation model-cloud model in uncertain artificial intelligence in order to solve uncertain questions which exist in image segmentation.
论文针对图像分割中存在的不确定性问题，通过研究不确定性人工智能中定性和定量的转换模型—云模型，提出一种新的基于云模型的图像分割方法。
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