source: trunk/SRC/Interpolation/quadrilateral2square.pro @ 358

Last change on this file since 358 was 358, checked in by pinsard, 16 years ago

small typo

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Line 
1;+
2;
3; @file_comments
4; warm (or map) an arbitrary quadrilateral onto a unit square
5; according to the 4-point correspondences:
6;       (x0,y0) -> (0,0)
7;       (x1,y1) -> (1,0)
8;       (x2,y2) -> (1,1)
9;       (x3,y3) -> (0,1)
10; This is the inverse function of <pro>square2quadrilateral</pro>.
11;
12; The mapping is done using perspective transformation which preserve
13; lines in all orientations and permit quadrilateral to quadrilateral
14; mappings. see ref. below.
15;
16; @categories
17; Picture, Grid
18;
19; @param x0in {in}{required}
20; @param y0in {in}{required}
21; @param x1in {in}{required}
22; @param y1in {in}{required}
23; @param x2in {in}{required}
24; @param y2in {in}{required}
25; @param x3in {in}{required}
26; @param y3in  {in}{required}
27; the coordinates of the quadrilateral
28; (see above for correspondence with the unit square). Can be
29; scalar or array. (x0,y0), (x1,y1), (x2,y2) and (x3,y3) are
30; given in the anticlockwise order.
31;
32; @param xxin {in}{required}
33; the coordinates of the point(s) for which we want to do the mapping.
34; Can be scalar or array.
35;
36; @param yyin {in}{required}
37; the coordinates of the point(s) for which we want to do the mapping.
38; Can be scalar or array.
39;
40; @keyword PERF {type=salar 0 or 1}{default=0}
41; activate to print the elapsed time spent within quadrilateral2square
42;
43; @keyword DOUBLE {type=salar 0 or 1}{default=0}
44; activate to perform double precision computation
45;
46; @returns
47; (2,n) array: the new coordinates (xout,yout) of the (xin,yin) point(s) after
48; mapping.
49; If xin is a scalar, then n is equal to the number of elements of x0.
50; If xin is an array, then n is equal to the number of elements of xin.
51;
52; @restrictions
53; I think degenerated quadrilateral (e.g. flat of twisted) is not work.
54; This has to be tested.
55;
56; @examples
57;
58; IDL> splot,[0,5],[0,3],/nodata,xstyle=1,ystyle=1
59; IDL> tracegrille, findgen(11)*.1, findgen(11)*.1,color=indgen(12)*20
60; IDL> xin = (findgen(11)*.1)#replicate(1, 11)
61; IDL> yin = replicate(1, 11)#(findgen(11)*.1)
62; IDL> out = square2quadrilateral(2,1,3,0,5,1,2,3, xin, yin)
63; IDL> tracegrille, reform(out[0,*],11,11), reform(out[1,*],11,11),color=indgen(12)*20
64;
65; IDL> inorg=quadrilateral2square(2,1,3,0,5,1,2,3,out[0,*],out[1,*])
66; IDL> tracegrille, reform(inorg[0,*],11,11), reform(inorg[1,*],11,11),color=indgen(12)*20
67;
68; @history
69;      Sebastien Masson (smasson\@lodyc.jussieu.fr)
70;      August 2003
71;      Based on "Digital Image Warping" by G. Wolberg
72;      IEEE Computer Society Press, Los Alamitos, California
73;      Chapter 3, see p 52-56
74;
75;
76; @version
77; $Id$
78;
79;-
80FUNCTION quadrilateral2square, x0in, y0in, x1in, y1in, x2in, y2in $
81                             , x3in, y3in, xxin, yyin $
82                             , PERF=perf, DOUBLE=double
83;
84  compile_opt idl2, strictarrsubs
85;
86tempsone = systime(1)
87;
88; Warning, wrong definition of (x2,y2) and (x3,y3) at the bottom of
89; page 54 of Wolberg's book, see figure 3.7 page 56 for the good
90; definition.
91;
92  IF keyword_set(double) THEN BEGIN
93    x0 = double(x0in)
94    x1 = double(x1in)
95    x2 = double(x2in)
96    x3 = double(x3in)
97    y0 = double(y0in)
98    y1 = double(y1in)
99    y2 = double(y2in)
100    y3 = double(y3in)
101    xin = double(xxin)
102    yin = double(yyin)
103  ENDIF ELSE BEGIN
104    x0 = float(x0in)
105    x1 = float(x1in)
106    x2 = float(x2in)
107    x3 = float(x3in)
108    y0 = float(y0in)
109    y1 = float(y1in)
110    y2 = float(y2in)
111    y3 = float(y3in)
112    xin = float(xxin)
113    yin = float(yyin)
114  ENDELSE
115;
116; get the matrix A
117;
118  a = square2quadrilateral(x0in, y0in, x1in, y1in, x2in, y2in, x3in, y3in, DOUBLE = double)
119;
120; compute the adjoint matrix
121;
122  IF keyword_set(double) THEN adj = dblarr(9, n_elements(x0)) $
123  ELSE adj = fltarr(9, n_elements(x0))
124;
125  adj[0, *] = a[4, *]        -a[7, *]*a[5, *]
126  adj[1, *] = a[7, *]*a[2, *]-a[1, *]
127  adj[2, *] = a[1, *]*a[5, *]-a[4, *]*a[2, *]
128  adj[3, *] = a[6, *]*a[5, *]-a[3, *]
129  adj[4, *] = a[0, *]        -a[6, *]*a[2, *]
130  adj[5, *] = a[3, *]*a[2, *]-a[0, *]*a[5, *]
131  adj[6, *] = a[3, *]*a[7, *]-a[6, *]*a[4, *]
132  adj[7, *] = a[6, *]*a[1, *]-a[0, *]*a[7, *]
133  adj[8, *] = a[0, *]*a[4, *]-a[3, *]*a[1, *]
134;
135  IF n_elements(xin) EQ 1 THEN BEGIN
136    xin = replicate(xin, n_elements(x0))
137    yin = replicate(yin, n_elements(x0))
138  ENDIF
139;
140; compute xprime, yprime and wprime
141;
142  IF n_elements(x0) EQ 1 THEN BEGIN
143    wpr = 1./(adj[6]*xin + adj[7]*yin + adj[8])
144  ENDIF ELSE BEGIN
145    wpr = 1./(adj[6, *]*xin + adj[7, *]*yin + adj[8, *])
146  ENDELSE
147  xpr = xin*wpr
148  ypr = yin*wpr
149;
150  IF keyword_set(double) THEN res = dblarr(2, n_elements(xin)) $
151  ELSE res = fltarr(2, n_elements(xin))
152;
153  IF n_elements(x0) EQ 1 THEN BEGIN
154    res[0, *] = xpr*adj[0] + ypr*adj[1] +wpr*adj[2]
155    res[1, *] = xpr*adj[3] + ypr*adj[4] +wpr*adj[5]
156  ENDIF ELSE BEGIN
157    res[0, *] = xpr*adj[0, *] + ypr*adj[1, *] +wpr*adj[2, *]
158    res[1, *] = xpr*adj[3, *] + ypr*adj[4, *] +wpr*adj[5, *]
159  ENDELSE
160;
161  IF keyword_set(perf) THEN print, 'time quadrilateral2square', systime(1)-tempsone
162
163  RETURN, res
164END
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