为了取得更好的显著性检测结果,针对传统的显著性检测方法易造成边界模糊以及应用中央-周边差进行图像检测时,感兴趣目标的内部纹理会破坏目标的整体性的问题,提出了一种基于纹理抑制和连续分布估计的显著性检测方法.先对图像进行双边滤波的预处理,以平滑目标以及背景区域内部的纹理扰动,保留目标与背景之间的主要边缘.再采用SLIC超像素分割算法,对图像中具有相同特征的像素进行分组,通过多维正态分布提取分割区域的特征,利用二范数Wasserstein距离计算区域相似度:结合局部显著性检测以及全局显著性检测实现目标区域的提取.实验结果表明,本文的方法能够较好地提取显著性目标区域.
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