how to classify the image feature extraction methods

hi to all of the researcher and who love researching
I'm trying to classify all of the image extraction method's in one big tree.
how we can put the following features extraction methods in this classification:

* PCA principle component
* DCT discrete cosine transform
* FFT fast fourier transform
* DWT discret wave let transform
* statistical model ( variance , covariance , ... )
* regression model
* MSE mean square error
* SSIM Structural similarity
* PSNR
* Frequency domain image feature extraction
* spatial domain image feature extraction
* wavelet - based image feature extraction
* texture metrics
* linear transform
* un-linear transform
...
what can be major type of feature extraction in the level one of tree?
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