Distinct NaN from other values in image
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I want to plot image with different values and easily distinct them from NaN values. As default NaN values are imaged with the same color as the minimum value. I have tried a range of possibilites but each provide their own issue. Here is one example:
imagesc(CP)
sc(isnan(CP), 'bone', [1 1 1]);
3 件のコメント
Agnete
2013 年 11 月 25 日
Image Analyst
2013 年 11 月 25 日
The answer has been accepted. I don't see a question in the last comment. And no m-file was attached.
Oliver Woodford
2014 年 1 月 2 日
You did not use sc correctly. Try:
sc(CP, 'bone', 'r')
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その他の回答 (1 件)
Image Analyst
2013 年 11 月 20 日
I don't know what "plot" means when talking about an image. I don't know why you want to plot anything on an image, like markers to "cover up" the nan locations. Why not just set the nan's to the min gray level and view it like a normal image?
CP(isnan(CP)) = min(CP(:)); % Set nan values to the min value
image(CP);
colormap(bone(256));
colorbar;
3 件のコメント
Agnete
2013 年 11 月 21 日
Agnete
2013 年 11 月 21 日
Image Analyst
2013 年 11 月 22 日
Sorry but I don't understand this. One just sort of looks like a very blurred version of the other. Both have the same pattern of triangles on them, and I don't even know what a triangle means/represents. Your image is an array. You can't have nan values have the same value as your minimum value. An element can have only one value, either a nan or some number. It can't have both at the same time. So "Nan values are imaged with the same color as my minimum value" makes no sense to me.
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