Category Archives: computer vision

Radon and Hough Transform

This is to follow-up my earlier post. In computed tomography of 2D parallel projection, its scanning process can be regarded as a real world example of 2D Radon transform.  Let us call density function (or beam attenuation coefficient or beam … Continue reading

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Radon, Hough, projection to 1D

Got a book “Mathematical Methods in Image Reconstruction” by Frank Natterer and Frank Wübbeling.  It brings about my old thought. Say here is a picture of a box, or something rectangular.  And let us assume that we roughly know position … Continue reading

Posted in books, computed tomography, computer vision | Tagged , , | 4 Comments