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提出了一种基于强化学习技术的数字X光乳腺图象自动分割方法。该方法由分割模块和学习模块组成:分割模块利用区域生长算法并结合平滑滤波和形态学滤波分割乳腺图象;学习模块将分割结果作为反馈
利用强化学习技术自动学习不同图象特征的最优分割参数。该方法通过训练可以适应于各种类型的数字X光乳腺图象
从而不必对不同类型乳腺图象进行繁琐易错的手工参数调整。定量实验结果表明
该方法对几类数字X光乳腺图象有很好的分割精度。与以前提出的方法相比
该方法对不同类型乳腺图象具有更好的适应性。
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