如果是MSE用于RGB图象A的公式,B的大小为256*200,那么,如何为代表MSE值的轴心和轴心的每个钢子获得一个线块。
MSE = reshape(mean((A)(双重(B))2,1),[1,3]
仅有两种图像A和B。 该地块应当说明A和B的每组子之间的变化,而后者是MSE的意思。
如果你想显示“每张钢材”的变动,那么你所显示的不是
当然,看到每页纸错是完全合理的,但我不建议使用直线图显示错误;这很可能是混淆而不是提供信息。 相反,将其描绘成一个形象:
errs = (double(A)-double(B)).^2;
image(errs / max(errs(:)));
axis image;
which you can then compare by eye with A and B to see what image regions/features/... correspond to worse errors. The brightness and colour of each pixel indicate the amount of error and how it s distributed across the R, G, and B planes.
另一方面,或许你实际需要的是,在图像单行或栏目上,有点错误。 在此情况下,在创建<条码>后,如上所示,使用<条码>mean计算行文或栏目;这将给你256-by-1--3或1-200-by-3的形象;现在我建议将R,G,B曲线分开,除非你(如上所述)坚持对飞机进行核对。
row_errs = mean(errs,2); % this is now of size [n,1,3]
现在,row_errs(:,1)是MS-a cross-rowsred的病媒,row_er(:,2)是MS-a cross-rows Green差错的病媒。 您可将这些内容输入plot。
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