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请问MCA是如何更关注边缘信息的? #2
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感谢您的提问,是我笔误了。G不是高斯高通滤波器,是高斯低通滤波器。MCA用特征f减去G(f)平滑后的结果,通过衰减低频分量,实现高通滤波的效果。我们通过这种高频信息关注重复的几何结构。 |
您好,兄弟!我认为我完成了这个问题的回答,所以我准备关闭这个问题。如果您仍然有疑问,可以重新打开问题评论,我们继续交流,谢谢! |
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在论文中您写到f_pre = F(f - G(f)), 其中G是高通滤波器,所以应该只有高频信息也就是边缘会通过,那么f-G(f)会将这些边缘信息变成0,而低频信息不变,那么我在求和的时候,高频信息的响应值应该更低才对啊,为什么会更关注重复的几何结构呢?这里不是很理解,麻烦您解答一下,万分感谢!
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