static void
analyzeDistribution(struct pam * const inpamP,
bool const verbose,
const unsigned int ** const histogramP,
struct range * const rangeP) {
/*----------------------------------------------------------------------------
Find the distribution of the sample values -- minimum, maximum, and
how many of each value -- in input image *inpamP, whose file is
positioned to the raster.
Return the minimum and maximum as *rangeP and the frequency
distribution as *histogramP, an array such that histogram[i] is the
number of pixels that have sample value i.
Assume the file is positioned to the raster upon entry and leave
it positioned at the same place.
-----------------------------------------------------------------------------*/
unsigned int row;
tuple * inrow;
tuplen * inrown;
unsigned int * histogram; /* malloced array */
unsigned int i;
pm_filepos rasterPos; /* Position in input file of the raster */
pm_tell2(inpamP->file, &rasterPos, sizeof(rasterPos));
inrow = pnm_allocpamrow(inpamP);
inrown = pnm_allocpamrown(inpamP);
MALLOCARRAY(histogram, inpamP->maxval+1);
if (histogram == NULL)
pm_error("Unable to allocate space for %lu-entry histogram",
inpamP->maxval+1);
/* Initialize histogram -- zero occurrences of everything */
for (i = 0; i <= inpamP->maxval; ++i)
histogram[i] = 0;
initRange(rangeP);
for (row = 0; row < inpamP->height; ++row) {
unsigned int col;
pnm_readpamrow(inpamP, inrow);
pnm_normalizeRow(inpamP, inrow, NULL, inrown);
for (col = 0; col < inpamP->width; ++col) {
++histogram[inrow[col][0]];
addToRange(rangeP, inrown[col][0]);
}
}
*histogramP = histogram;
pnm_freepamrow(inrow);
pnm_freepamrown(inrown);
pm_seek2(inpamP->file, &rasterPos, sizeof(rasterPos));
if (verbose)
pm_message("Pixel values range from %f to %f",
rangeP->min, rangeP->max);
}
static void
analyzeImage(FILE * const ifP,
unsigned int const cols,
unsigned int const rows,
xelval const maxval,
int const format,
enum bg_choice const backgroundReq,
imageFilePos const newFilePos,
xel * const backgroundColorP,
bool * const hasBordersP,
borderSet * const borderSizeP) {
/*----------------------------------------------------------------------------
Analyze the PNM image on file stream *ifP to determine its borders
and the color of those borders (the assumed background color).
Return as *backgroundColorP the background color.
Return as *borderSizeP the set of border sizes (one for each of the
four edges). But iff there are no borders, don't return anything as
*borderSizeP and return *hasBordersP == false.
Expect *ifP to be positioned right after the header and seekable.
Return with it positioned either before or after the raster, as
requested by 'newFilePos'.
-----------------------------------------------------------------------------*/
pm_filepos rasterpos;
xel background;
pm_tell2(ifP, &rasterpos, sizeof(rasterpos));
background = computeBackground(ifP, cols, rows, maxval, format,
backgroundReq);
pm_seek2(ifP, &rasterpos, sizeof(rasterpos));
findBordersInImage(ifP, cols, rows, maxval, format,
background, hasBordersP, borderSizeP);
if (newFilePos == FILEPOS_BEG)
pm_seek2(ifP, &rasterpos, sizeof(rasterpos));
*backgroundColorP = background;
}
int
main(int argc, char *argv[]) {
struct cmdlineInfo cmdline;
struct pam inpam;
FILE * ifP;
pm_filepos rasterpos;
tuple backgroundColor;
const unsigned char * const * pi;
pnm_init(&argc, argv);
parseCommandLine(argc, argv, &cmdline);
ifP = pm_openr_seekable(cmdline.inputFileName);
pnm_readpaminit(ifP, &inpam, PAM_STRUCT_SIZE(tuple_type));
pm_tell2(ifP, &rasterpos, sizeof(rasterpos));
determineBackgroundColor(&inpam, cmdline.verbose, &backgroundColor);
pm_seek2(ifP, &rasterpos, sizeof(rasterpos));
findBackgroundPixels(&inpam, backgroundColor, cmdline.verbose, &pi);
writeOutput(&inpam, pi);
destroyPi(pi, inpam.height);
pm_close(ifP);
pnm_freepamtuple(backgroundColor);
return 0;
}
static void
convertImage(FILE * const ifP,
TIFF * const tifP,
const char * const inputFileDescription,
struct cmdlineInfo const cmdline) {
tupletable chv;
tuplehash cht;
unsigned short ** tiffColorMap; /* malloc'ed */
struct pam pam;
unsigned int colors;
bool grayscale;
unsigned short photometric;
unsigned short samplesperpixel;
unsigned short bitspersample;
unsigned short tiff_maxval;
/* This is the maxval of the samples in the tiff file. It is
determined solely by the bits per sample ('bitspersample').
*/
int bytesperrow;
pm_filepos rasterPos;
pnm_readpaminit(ifP, &pam, PAM_STRUCT_SIZE(tuple_type));
pm_tell2(ifP, &rasterPos, sizeof(rasterPos));
analyzeColors(&pam, cmdline, MAXCOLORS, &chv, &colors, &grayscale);
/* Go back to beginning of raster */
pm_seek2(ifP, &rasterPos, sizeof(rasterPos));
/* Figure out TIFF parameters. */
computeRasterParm(&pam, chv, colors, grayscale,
cmdline.compression,
cmdline.minisblack, cmdline.miniswhite,
cmdline.indexsizeAllowed,
&samplesperpixel, &bitspersample, &photometric,
&bytesperrow);
tiff_maxval = pm_bitstomaxval(bitspersample);
if (!chv) {
cht = NULL;
tiffColorMap = NULL;
} else {
createTiffColorMap(&pam, bitspersample, chv, colors, &tiffColorMap);
/* Convert color vector to color hash table, for fast lookup. */
cht = pnm_computetupletablehash(&pam, chv, colors);
pnm_freetupletable(&pam, chv);
}
setTiffFields(tifP, cmdline, &pam, bitspersample, photometric,
samplesperpixel, tiffColorMap, inputFileDescription,
cmdline.taglist);
writeScanLines(&pam, tifP, cht,
tiff_maxval, bitspersample, photometric, bytesperrow,
cmdline.fillorder);
if (tiffColorMap)
destroyTiffColorMap(&pam, tiffColorMap);
}