Reference Guide > P Routines > POLYWARP Procedure
  

POLYWARP Procedure
Standard Library procedure that calculates the coefficients needed for a polynomial image warping transformation.
Usage
POLYWARP, xd, yd, xin, yin, deg, xm, ym
Input Parameters
xd — The vector containing the x-coordinates to be fit as a function of (xin, yin).
yd — The vector containing the y-coordinates to be fit as a function of (xin, yin).
xin — The vector containing the independent x-coordinates. Must have the same number of points as xd.
yin — The vector containing the independent y-coordinates. Must have the same number of points as yd.
deg — The degree of the polynomial to be fitted to the data. The number of coordinate pairs formed by xin and yin must be greater than or equal to (deg + 1)2.
Output Parameters
xm — A (deg + 1)-by-(deg + 1) array containing the coefficients of xd as a function of (xin, yin).
ym — A (deg + 1)-by-(deg + 1) array containing the coefficients of yd as a function of (xin, yin).
Keywords
None.
Discussion
POLYWARP calculates its transformation coefficients using the polynomial least-squares method. It returns the coefficients of the polynomial functions which best approximate the data:
*The xm polynomial array pertains to the x direction.
*The ym polynomial array pertains to the y direction.
POLYWARP determines the coefficients Ax(i, j) and Ay(i, j) of these two polynomial functions:
and:
where Ax = xm and Ay = ym.
 
note
The xm (x-coefficients) and ym (y-coefficients) can be used as input for the POLY_2D function. POLY_2D performs the actual warping of the image, using the x and y transformation coefficients that you provide.
Example
PRO polywarp_ex1
   ; Create a test image and display it.
   image = BYTSCL(DIST(300))
   WINDOW, XSize=300, YSize=300
   TV, image
   ; Create arrays describing four independent control points and
   ; plot these on top of image. These points describe a
   ; square, and represent the position of points in a
   ; calibration image.
   xin = [100, 200, 200, 100]
   yin = [200, 200, 100, 100]
   XYOUTS, 100, 200, '0', /Device
   XYOUTS, 200, 200, '1', /Device
   XYOUTS, 200, 100, '2', /Device
   XYOUTS, 100, 100, '3', /Device
   xd = INTARR(4)
   yd = INTARR(4)
   ; Pick four dependent warping control points from image;
   ; these points represent calibration points as actually
   ; measured by an instrument, which, due to distortion,
   ; has warped them.
   FOR i=0L,3 DO BEGIN 
      PRINT, 'Pick warped point ', i
      CURSOR, xt, yt, /Device
      WAIT, 0.5
      xd(i) = xt
      yd(i) = yt
   ENDFOR
   deg = 1
   ; Perform linear (first degree) warping. POLYWARP returns
   ; xm and ym, the coefficients of the polynomial functions
   ; which describe this warping.
   POLYWARP, xd, yd, xin, yin, deg, xm, ym
   ; Apply the polynomial functions calculated with POLYWARP
   ; to the first image, using bilinear interpolation.
   interp = 1
   result = POLY_2D(image, xm, ym, interp)
   ; Display the resulting image, which represents the image
   ; after correcting for instrument distortion.
   TVSCL, result
END
See Also
POLY_2D
For more information on image processing, see Chapter 5, Displaying 3D Data, in the PV‑WAVE User’s Guide.
For additional information, see the section Geometric Transformations in Chapter 6 of the PV‑WAVE User’s Guide.

Version 2017.1
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