Radon Cumulative Distribution Transform Subspace Modeling for Image Classification

We present a new supervised image classification method applicable to a broad class of image deformation models. The method makes use of the previously described Radon Cumulative Distribution Transform (R-CDT) for image data, whose mathematical properties are exploited to express the image data in a...

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Veröffentlicht in:	Journal of mathematical imaging and vision 2021-11, Vol.63 (9), p.1185-1203
Hauptverfasser:	Shifat-E-Rabbi, Mohammad, Yin, Xuwang, Rubaiyat, Abu Hasnat Mohammad, Li, Shiying, Kolouri, Soheil, Aldroubi, Akram, Nichols, Jonathan M., Rohde, Gustavo K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Applications of Mathematics Classification Computational efficiency Computer networks Computer Science Image classification Image Processing and Computer Vision Iterative methods Machine learning Mathematical Methods in Physics Neural networks Radon Signal,Image and Speech Processing Subspaces Training
Online-Zugang:	Volltext
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