改进聚类间方差最大法在特殊图像中的应用

Proceedings of the 2nd International Conference on Industrial Control Network And System Engineering Research Pub Date : 2020-06-19 DOI:10.1145/3411016.3411021

Wang Na

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引用次数: 0

摘要

图像分割是图像理解和分析的基础。在众多的图像分割方法中，阈值分割方法简单高效，在图像分割中得到了广泛的应用。但是如何找到合适的阈值是一个棘手的问题。通过对传统聚类间方差最大算法的分析，提出了一种针对特殊图像的改进聚类间方差最大算法

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The application of the improved maximum between-cluster variance method in special images

Image segmentation is the basis of image understanding and analysis. Among the many image segmentation methods, the threshold segmentation method is simple and efficient, and is widely used in image segmentation. But how to find the right threshold is a tricky problem. Through the analysis of the traditional OTSU algorithm (maximum between-cluster variance), an improved OTSU algorithm is proposed for special images

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Proceedings of the 2nd International Conference on Industrial Control Network And System Engineering Research

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