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基于多阶抽样的高斯混合模型彩色图像分割

DOI: 10.11834/jig.20110420

Keywords: 图像分割,高斯混合模型,多阶抽样

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Abstract:

针对传统高斯混合模型应用于彩色图像分割时计算复杂度高等问题,提出一种多阶抽样的高斯混合模型的彩色图像分割算法。首先,给出采样数定理及其证明,并推导出与聚类类别数和最小聚类相关的最小采样数目;其次,设计一罚函数判断抽样优劣,消除抽样对聚类模型影响,根据最小采样数数目,对像素点进行均匀采样,并利用高斯混合模型对采样像素点进行聚类;最后,定义像素点和类之间的距离,对剩余的像素点按距离最近原则进行划分。实验结果表明算法具有有效性。

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