Request support about the image feature descriptor extraction using FJFM_D file · Issue #1 · ShurenQi/MomentToolbox · GitHub
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Dear authors,
Thank you very much for sharing your code with the community.
I would like to extract a feature vector of my input image using the FJFM_D file (I suppose D stands for descriptor?). Could you please inform me if it is correct to consider the X matrix as a feature vector or is there better way to do that ?
I also noticed a special format of the values included in this matrix, for example the first value X[0][0] = -4.3893 - 1.0388i
It seems to not being a simple float value ?
Thank you in advance for your support.
Best regards
Ruiwen
The text was updated successfully, but these errors were encountered:
In fact, image moments are usually complex-valued. You can get the descriptor that is rotation invariant by taking the absolute value of X, as I did in the "3. Pattern Recognition" folder.
For more information about FJFM, you can refer to my previous paper:
Robust and discriminative image representation: Fractional-order Jacobi-Fourier Moments. Pattern Recognition (PR), 2021.
Dear authors,
Thank you very much for sharing your code with the community.
I would like to extract a feature vector of my input image using the FJFM_D file (I suppose D stands for descriptor?). Could you please inform me if it is correct to consider the X matrix as a feature vector or is there better way to do that ?
I also noticed a special format of the values included in this matrix, for example the first value X[0][0] = -4.3893 - 1.0388i
It seems to not being a simple float value ?
Thank you in advance for your support.
Best regards
Ruiwen
The text was updated successfully, but these errors were encountered: