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A Kind of Watershed Image Segmentation Method Based on Combination Pre-processing

机译:一种基于组合预处理的流域图像分割方法

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The watershed algorithm has been widely used in image segmentation for its characteristics of accurately positioning edge, simple operation and etc. But it also has drawbacks of easy to over-segmentation and loss important outline for the character of sensitive to noise. Aiming at the problem of over-segmentation of watershed algorithm, the paper brought out an improved image segmentation algorithm based on watershed, which can limit the number of existing regions that are allowed with combination pre-processing steps, so that the over-segmentation problem can be better solved. The result of experiment also verifies the correctness and feasibility of the proposed algorithm in the paper.
机译:流域算法已广泛用于图像分割,以实现其精确定位边缘,操作简单等特性,但它还具有易于过分分割和损耗对噪声敏感性的重要概要的缺点。针对流域算法过分分割问题,纸张提出了一种基于流域的改进的图像分割算法,这可以限制允许组合预处理步骤允许的现有区域的数量,从而实现过分分割问题可以更好解决。实验结果还验证了纸纸中所提出的算法的正确性和可行性。

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