View source for MIA Toolbox Texture Quick Start

[[MIA_Toolbox_Loading_Data_Quick_Start | Previous Topic: Loading Image Data]]
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[[Image:ExportToTexture.png |right | 600px |(Click to Enlarge)]]
This example uses the '''textures''' [[MIA_Demo_Data|demo dataset]]. Load '''textures''' by clicking on '''Load Demo Data''' in the tree, then '''27 Texture Photos'''. This will load the data into Image Manager. Right-click in the image group area and select '''Add All Images to Group''' then click the '''Export to Texture''' button.

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[[Image:TextureGUI_fft.png |right| 600px |(Click to Enlarge)]]
The Texture interface will open with '''textures''' loaded. Next, select '''Fourier Transform (fft)''' from the '''Texture Method''' drop-down menu and use the default '''Rows''' for the Spectrum Direction. Now click '''Calculate''' to create the spectra and display them.

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[[Image:TextureCottonSpectrum.png |right| 500px |(Click to Enlarge)]]
To get a better understanding of how the images are related, let's export the spectra to '''Analysis''' and create a '''PCA''' model. Here are the steps:
# In the Texture Interface, click the Export to Analysis button.
# When Analysis opens, select PCA from the Analysis menu.
# Click the model icon or calculate button (gears icon) to calculate a model (use the default number of PCs).
# Open a scores plot by clicking on the Plot Scores button.
# Double click the PC 1 vs PC 2 plot (upper right) to open it in a separate figure.
# Add labels using the Plot Controls View>Labels>Set One.

You can see there's one real "oddball" in the PC 1 vs PC 2 plot, the Cotton Canvas. If you go back an look at the image you can see that it's highly "regular" in its texture and has a pronounced feature in its spectrum.


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