49 |
|
* 0 |
50 |
|
* 0 |
51 |
|
* |
52 |
+ |
* A spectral data file is given as: |
53 |
+ |
* |
54 |
+ |
* modifier specdata name |
55 |
+ |
* 4+ sfunc dfname vfname v0 .. xf |
56 |
+ |
* 0 |
57 |
+ |
* n A1 A2 .. |
58 |
+ |
* |
59 |
+ |
* A spectral image is given as: |
60 |
+ |
* |
61 |
+ |
* modifier specpict name |
62 |
+ |
* 5+ sfunc sfname vfname vx vy xf |
63 |
+ |
* 0 |
64 |
+ |
* n A1 A2 .. |
65 |
+ |
* |
66 |
|
* Vfname is the name of the file where the variable definitions |
67 |
|
* can be found. The list of real arguments can be accessed by |
68 |
|
* definitions in the file. The dfnames are the data file |
69 |
|
* names. The dimensions of the data files and the number |
70 |
< |
* of variables must match. The funcs take a single argument |
71 |
< |
* for brightdata, and three for colordata and colorpict to produce |
72 |
< |
* interpolated values from the file. The xf is a transform spec |
73 |
< |
* to get from the original coordinates to the current coordinates. |
70 |
> |
* of variables must match, except for specdata, which has a "hidden" |
71 |
> |
* last variable for the wavelength. The funcs take a single argument |
72 |
> |
* for brightdata, three for colordata and colorpict, and two for |
73 |
> |
* specdata and specpict to modify interpolated values from the file. |
74 |
> |
* The xf is a transform spec to get from the original coordinates to |
75 |
> |
* the current coordinates. |
76 |
|
*/ |
77 |
|
|
78 |
|
|
141 |
|
} |
142 |
|
col[0] = datavalue(dp, pt); |
143 |
|
for (i = 1; i < 3; i++) { |
144 |
< |
dp = getdata(m->oargs.sarg[i+3]); |
144 |
> |
dp = getdata(m->oargs.sarg[3+i]); |
145 |
|
if (dp->nd != nv) |
146 |
|
objerror(m, USER, "dimension error"); |
147 |
|
col[i] = datavalue(dp, pt); |
148 |
|
} |
149 |
|
errno = 0; |
150 |
|
for (i = 0; i < 3; i++) |
151 |
< |
if (fundefined(m->oargs.sarg[i]) < 3) |
151 |
> |
if (i && fundefined(m->oargs.sarg[i]) < 3) |
152 |
|
colval(cval,i) = funvalue(m->oargs.sarg[i], 1, col+i); |
153 |
|
else |
154 |
|
colval(cval,i) = funvalue(m->oargs.sarg[i], 3, col); |
189 |
|
col[i] = datavalue(dp+i, pt); |
190 |
|
errno = 0; |
191 |
|
for (i = 0; i < 3; i++) |
192 |
< |
if (fundefined(m->oargs.sarg[i]) < 3) |
192 |
> |
if (i && fundefined(m->oargs.sarg[i]) < 3) |
193 |
|
colval(cval,i) = funvalue(m->oargs.sarg[i], 1, col+i); |
194 |
|
else |
195 |
|
colval(cval,i) = funvalue(m->oargs.sarg[i], 3, col); |
272 |
|
m->os = (void *)scval; |
273 |
|
} |
274 |
|
smultscolor(r->pcol, scval); |
275 |
+ |
return(0); |
276 |
+ |
} |
277 |
+ |
|
278 |
+ |
|
279 |
+ |
int |
280 |
+ |
p_specdata( /* varied spectrum from (N+1)-D file */ |
281 |
+ |
OBJREC *m, |
282 |
+ |
RAY *r |
283 |
+ |
) |
284 |
+ |
{ |
285 |
+ |
SCOLOR scval; |
286 |
+ |
COLORV *scdat; |
287 |
+ |
double pt[MAXDDIM]; |
288 |
+ |
DATARRAY *dp; |
289 |
+ |
MFUNC *mf; |
290 |
+ |
double step; |
291 |
+ |
int i; |
292 |
+ |
|
293 |
+ |
if (m->oargs.nsargs < 4) |
294 |
+ |
objerror(m, USER, "bad # arguments"); |
295 |
+ |
dp = getdata(m->oargs.sarg[1]); |
296 |
+ |
if (dp->nd < 2) |
297 |
+ |
objerror(m, USER, "need at least 2-dimensional data"); |
298 |
+ |
i = (1 << (dp->nd-1)) - 1; |
299 |
+ |
mf = getfunc(m, 2, i<<3, 0); |
300 |
+ |
setfunc(m, r); |
301 |
+ |
errno = 0; |
302 |
+ |
for (i = dp->nd-1; i-- > 0; ) { |
303 |
+ |
pt[i] = evalue(mf->ep[i]); |
304 |
+ |
if ((errno == EDOM) | (errno == ERANGE)) |
305 |
+ |
goto computerr; |
306 |
+ |
} |
307 |
+ |
step = dp->dim[dp->nd-1].siz / (dp->dim[dp->nd-1].ne - 1.0); |
308 |
+ |
scdat = (COLORV *)malloc(sizeof(COLORV)*dp->dim[dp->nd-1].ne); |
309 |
+ |
if (scdat == NULL) |
310 |
+ |
objerror(m, SYSTEM, "out of memory"); |
311 |
+ |
for (i = dp->dim[dp->nd-1].ne; i-- > 0; ) { |
312 |
+ |
double bval[2]; |
313 |
+ |
pt[dp->nd-1] = dp->dim[dp->nd-1].org + i*step; |
314 |
+ |
bval[0] = datavalue(dp, pt); |
315 |
+ |
bval[1] = pt[dp->nd-1]; |
316 |
+ |
errno = 0; |
317 |
+ |
scdat[i] = funvalue(m->oargs.sarg[0], 2, bval); |
318 |
+ |
if ((errno == EDOM) | (errno == ERANGE)) |
319 |
+ |
goto computerr; |
320 |
+ |
} |
321 |
+ |
convertscolor(scval, NCSAMP, WLPART[0], WLPART[3], |
322 |
+ |
scdat, dp->dim[dp->nd-1].ne, |
323 |
+ |
dp->dim[dp->nd-1].org-.5*step, |
324 |
+ |
dp->dim[dp->nd-1].org+dp->dim[dp->nd-1].siz+.5*step); |
325 |
+ |
free(scdat); |
326 |
+ |
smultscolor(r->pcol, scval); |
327 |
+ |
return(0); |
328 |
+ |
computerr: |
329 |
+ |
objerror(m, WARNING, "compute error"); |
330 |
+ |
return(0); |
331 |
+ |
} |
332 |
+ |
|
333 |
+ |
|
334 |
+ |
int |
335 |
+ |
p_specpict( /* interpolate hyperspectral image data */ |
336 |
+ |
OBJREC *m, |
337 |
+ |
RAY *r |
338 |
+ |
) |
339 |
+ |
{ |
340 |
+ |
SCOLOR scdat, scval; |
341 |
+ |
double pt[3]; |
342 |
+ |
DATARRAY *dp; |
343 |
+ |
MFUNC *mf; |
344 |
+ |
double step; |
345 |
+ |
int i; |
346 |
+ |
|
347 |
+ |
if (m->oargs.nsargs < 5) |
348 |
+ |
objerror(m, USER, "bad # arguments"); |
349 |
+ |
mf = getfunc(m, 2, 0x3<<3, 0); |
350 |
+ |
setfunc(m, r); |
351 |
+ |
errno = 0; |
352 |
+ |
pt[1] = evalue(mf->ep[0]); /* y major ordering */ |
353 |
+ |
pt[0] = evalue(mf->ep[1]); |
354 |
+ |
if ((errno == EDOM) | (errno == ERANGE)) |
355 |
+ |
goto computerr; |
356 |
+ |
dp = getspec(m->oargs.sarg[1]); |
357 |
+ |
step = dp->dim[2].siz / (dp->dim[2].ne - 1.0); |
358 |
+ |
for (i = dp->dim[2].ne; i-- > 0; ) { |
359 |
+ |
double bval[2]; |
360 |
+ |
pt[2] = dp->dim[2].org + i*step; |
361 |
+ |
bval[0] = datavalue(dp, pt); |
362 |
+ |
bval[1] = pt[2]; |
363 |
+ |
errno = 0; |
364 |
+ |
scdat[i] = funvalue(m->oargs.sarg[0], 2, bval); |
365 |
+ |
if ((errno == EDOM) | (errno == ERANGE)) |
366 |
+ |
goto computerr; |
367 |
+ |
} |
368 |
+ |
convertscolor(scval, NCSAMP, WLPART[0], WLPART[3], |
369 |
+ |
scdat, dp->dim[2].ne, |
370 |
+ |
dp->dim[2].org-.5*step, |
371 |
+ |
dp->dim[2].org+dp->dim[2].siz+.5*step); |
372 |
+ |
smultscolor(r->pcol, scval); |
373 |
+ |
return(0); |
374 |
+ |
computerr: |
375 |
+ |
objerror(m, WARNING, "compute error"); |
376 |
|
return(0); |
377 |
|
} |