Faq create multivariate image from separate images: Difference between revisions
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===Possible Solutions:=== | ===Possible Solutions:=== | ||
If you are performing PCA on a multivariate image, you may need to construct a 3 dimensional (MxNxP) array where each image is MxN pixels and there are P images. An easy way to do this is using the Matlab cat() command. | If you are performing PCA on a multivariate image, you may need to construct a 3 dimensional (MxNxP) array where each image is MxN pixels and there are P images. An easy way to do this is using the Matlab <code>cat()</code> command. | ||
>>mvimg = cat(3, img1, img2, img3); | >> mvimg = cat(3, img1, img2, img3); | ||
Note the first argument = 3, this indicates the concatenation is occurring along the 3rd dimension. | Note the first argument = 3, this indicates the concatenation is occurring along the 3rd dimension. | ||
'''Still having problems? Please contact our helpdesk at [mailto:helpdesk@eigenvector.com helpdesk@eigenvector.com]''' | |||
[[Category:FAQ]] | [[Category:FAQ]] | ||
Latest revision as of 10:18, 5 December 2018
Issue:
How do I concatenate multiple files into a single DataSet?
Possible Solutions:
If you are performing PCA on a multivariate image, you may need to construct a 3 dimensional (MxNxP) array where each image is MxN pixels and there are P images. An easy way to do this is using the Matlab cat() command.
>> mvimg = cat(3, img1, img2, img3);
Note the first argument = 3, this indicates the concatenation is occurring along the 3rd dimension.
Still having problems? Please contact our helpdesk at helpdesk@eigenvector.com