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显著性检测 CA

于 2022-03-02 发布 文件大小:493.47 kB
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这是一种图像视觉显著性提取方法,对应文献S. Goferman, L. Zelnik-Manor, and A. Tal, “Context-aware saliency detection,” in IEEE CVPR, 2010, pp. 2376–2383.该文献中的模型同时考虑了图像的局部特征和全局特征,克服了显著区域范围是固定模型以及区域只考虑到前景图像,忽视含有信息量的背景信息的做法,能提取出显著区域轮廓,利于后续处理,但是需要计算图像中每个像素点相当于局部区域的显著性,计算量较大。

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