source: trunk/SRC/Interpolation/quadrilateral2square.pro @ 261

Last change on this file since 261 was 242, checked in by pinsard, 17 years ago

improvements/corrections of some *.pro headers + replace some message by some report

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File size: 4.6 KB
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. bellow.
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
41;
42; @returns
43; (2,n) array: the new coordinates (xout,yout) of the (xin,yin) point(s) after
44; mapping.
45; If xin is a scalar, then n is equal to the number of elements of x0.
46; If xin is an array, then n is equal to the number of elements of xin.
47;
48; @restrictions
49; I think degenerated quadrilateral (e.g. flat of twisted) is not work.
50; This has to be tested.
51;
52; @examples
53;
54; IDL> splot,[0,5],[0,3],/nodata,xstyle=1,ystyle=1
55; IDL> tracegrille, findgen(11)*.1, findgen(11)*.1,color=indgen(12)*20
56; IDL> xin = (findgen(11)*.1)#replicate(1, 11)
57; IDL> yin = replicate(1, 11)#(findgen(11)*.1)
58; IDL> out = square2quadrilateral(2,1,3,0,5,1,2,3, xin, yin)
59; IDL> tracegrille, reform(out[0,*],11,11), reform(out[1,*],11,11),color=indgen(12)*20
60;
61; IDL> inorg=quadrilateral2square(2,1,3,0,5,1,2,3,out[0,*],out[1,*])
62; IDL> tracegrille, reform(inorg[0,*],11,11), reform(inorg[1,*],11,11),color=indgen(12)*20
63;
64; @history
65;      Sebastien Masson (smasson\@lodyc.jussieu.fr)
66;      August 2003
67;      Based on "Digital Image Warping" by G. Wolberg
68;      IEEE Computer Society Press, Los Alamitos, California
69;      Chapter 3, see p 52-56
70;
71;
72; @version
73; $Id$
74;
75;-
76;
77FUNCTION quadrilateral2square, x0in, y0in, x1in, y1in, x2in, y2in, x3in, y3in, xxin, yyin, PERF = perf
78;
79  compile_opt idl2, strictarrsubs
80;
81tempsone = systime(1)
82;
83; Warning, wrong definition of (x2,y2) and (x3,y3) at the bottom of
84; page 54 of Wolberg's book, see figure 3.7 page 56 for the good
85; definition.
86;
87  IF keyword_set(double) THEN BEGIN
88    x0 = double(x0in)
89    x1 = double(x1in)
90    x2 = double(x2in)
91    x3 = double(x3in)
92    y0 = double(y0in)
93    y1 = double(y1in)
94    y2 = double(y2in)
95    y3 = double(y3in)
96    xin = double(xxin)
97    yin = double(yyin)
98  ENDIF ELSE BEGIN
99    x0 = float(x0in)
100    x1 = float(x1in)
101    x2 = float(x2in)
102    x3 = float(x3in)
103    y0 = float(y0in)
104    y1 = float(y1in)
105    y2 = float(y2in)
106    y3 = float(y3in)
107    xin = float(xxin)
108    yin = float(yyin)
109  ENDELSE
110;
111; get the matrix A
112;
113  a = square2quadrilateral(x0in, y0in, x1in, y1in, x2in, y2in, x3in, y3in)
114;
115; compute the adjoint matrix
116;
117  IF keyword_set(double) THEN adj = dblarr(9, n_elements(x0)) $
118  ELSE adj = fltarr(9, n_elements(x0))
119;
120  adj[0, *] = a[4, *]        -a[7, *]*a[5, *]
121  adj[1, *] = a[7, *]*a[2, *]-a[1, *]
122  adj[2, *] = a[1, *]*a[5, *]-a[4, *]*a[2, *]
123  adj[3, *] = a[6, *]*a[5, *]-a[3, *]
124  adj[4, *] = a[0, *]        -a[6, *]*a[2, *]
125  adj[5, *] = a[3, *]*a[2, *]-a[0, *]*a[5, *]
126  adj[6, *] = a[3, *]*a[7, *]-a[6, *]*a[4, *]
127  adj[7, *] = a[6, *]*a[1, *]-a[0, *]*a[7, *]
128  adj[8, *] = a[0, *]*a[4, *]-a[3, *]*a[1, *]
129;
130  IF n_elements(xin) EQ 1 THEN BEGIN
131    xin = replicate(xin, n_elements(x0))
132    yin = replicate(yin, n_elements(x0))
133  ENDIF
134;
135; compute xprime, yprime and wprime
136;
137  IF n_elements(x0) EQ 1 THEN BEGIN
138    wpr = 1./(adj[6]*xin + adj[7]*yin + adj[8])
139  ENDIF ELSE BEGIN
140    wpr = 1./(adj[6, *]*xin + adj[7, *]*yin + adj[8, *])
141  ENDELSE
142  xpr = xin*wpr
143  ypr = yin*wpr
144;
145  IF keyword_set(double) THEN res = dblarr(2, n_elements(xin)) $
146  ELSE res = fltarr(2, n_elements(xin))
147;
148  IF n_elements(x0) EQ 1 THEN BEGIN
149    res[0, *] = xpr*adj[0] + ypr*adj[1] +wpr*adj[2]
150    res[1, *] = xpr*adj[3] + ypr*adj[4] +wpr*adj[5]
151  ENDIF ELSE BEGIN
152    res[0, *] = xpr*adj[0, *] + ypr*adj[1, *] +wpr*adj[2, *]
153    res[1, *] = xpr*adj[3, *] + ypr*adj[4, *] +wpr*adj[5, *]
154  ENDELSE
155;
156  IF keyword_set(perf) THEN print, 'time quadrilateral2square', systime(1)-tempsone
157
158  RETURN, res
159END
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