1 pixBackgroundNormSimple

函数功能：自适应背影标准化

位置：adampmap.c

/*------------------------------------------------------------------**                Adaptive background normalization                 **------------------------------------------------------------------*/
/*!*  pixBackgroundNormSimple()**      Input:  pixs (8 bpp grayscale or 32 bpp rgb)*              pixim (<optional> 1 bpp 'image' mask; can be null)*              pixg (<optional> 8 bpp grayscale version; can be null)*      Return: pixd (8 bpp or 32 bpp rgb), or null on error**  Notes:*    (1) This is a simplified interface to pixBackgroundNorm(),*        where seven parameters are defaulted.*    (2) The input image is either grayscale or rgb.*    (3) See pixBackgroundNorm() for usage and function.*/
PIX *
pixBackgroundNormSimple(PIX  *pixs,PIX  *pixim,PIX  *pixg)
{return pixBackgroundNorm(pixs, pixim, pixg,DEFAULT_TILE_WIDTH, DEFAULT_TILE_HEIGHT,DEFAULT_FG_THRESHOLD, DEFAULT_MIN_COUNT,DEFAULT_BG_VAL, DEFAULT_X_SMOOTH_SIZE,DEFAULT_Y_SMOOTH_SIZE);
}

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由代码可知，此函数是pixBackgroundNorm的简化接口，参数已经由默认设置。默认参数为：

    /* Default input parameters for pixBackgroundNormSimple()* Note:*    (1) mincount must never exceed the tile area (width * height)*    (2) bgval must be sufficiently below 255 to avoid accidental*        saturation; otherwise it should be large to avoid*        shrinking the dynamic range*    (3) results should otherwise not be sensitive to these values*/
static const l_int32  DEFAULT_TILE_WIDTH = 10;
static const l_int32  DEFAULT_TILE_HEIGHT = 15;
static const l_int32  DEFAULT_FG_THRESHOLD = 60;
static const l_int32  DEFAULT_MIN_COUNT = 40;
static const l_int32  DEFAULT_BG_VAL = 200;
static const l_int32  DEFAULT_X_SMOOTH_SIZE = 2;
static const l_int32  DEFAULT_Y_SMOOTH_SIZE = 1;

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2 pixBackgroundNorm

函数位置：adaptmap.c

/*!*  pixBackgroundNorm()**      Input:  pixs (8 bpp grayscale or 32 bpp rgb)*              pixim (<optional> 1 bpp 'image' mask; can be null)*              pixg (<optional> 8 bpp grayscale version; can be null)*              sx, sy (tile size in pixels)*              thresh (threshold for determining foreground)*              mincount (min threshold on counts in a tile)*              bgval (target bg val; typ. > 128)*              smoothx (half-width of block convolution kernel width)*              smoothy (half-width of block convolution kernel height)*      Return: pixd (8 bpp or 32 bpp rgb), or null on error**  Notes:*    (1) This is a top-level interface for normalizing the image intensity*        by mapping the image so that the background is near the input*        value 'bgval'.*    (2) The input image is either grayscale or rgb.*    (3) For each component in the input image, the background value*        in each tile is estimated using the values in the tile that*        are not part of the foreground, where the foreground is*        determined by the input 'thresh' argument.*    (4) An optional binary mask can be specified, with the foreground*        pixels typically over image regions.  The resulting background*        map values will be determined by surrounding pixels that are*        not under the mask foreground.  The origin (0,0) of this mask*        is assumed to be aligned with the origin of the input image.*        This binary mask must not fully cover pixs, because then there*        will be no pixels in the input image available to compute*        the background.*    (5) An optional grayscale version of the input pixs can be supplied.*        The only reason to do this is if the input is RGB and this*        grayscale version can be used elsewhere.  If the input is RGB*        and this is not supplied, it is made internally using only*        the green component, and destroyed after use.*    (6) The dimensions of the pixel tile (sx, sy) give the amount by*        by which the map is reduced in size from the input image.*    (7) The threshold is used to binarize the input image, in order to*        locate the foreground components.  If this is set too low,*        some actual foreground may be used to determine the maps;*        if set too high, there may not be enough background*        to determine the map values accurately.  Typically, it's*        better to err by setting the threshold too high.*    (8) A 'mincount' threshold is a minimum count of pixels in a*        tile for which a background reading is made, in order for that*        pixel in the map to be valid.  This number should perhaps be*        at least 1/3 the size of the tile.*    (9) A 'bgval' target background value for the normalized image.  This*        should be at least 128.  If set too close to 255, some*        clipping will occur in the result.*    (10) Two factors, 'smoothx' and 'smoothy', are input for smoothing*        the map.  Each low-pass filter kernel dimension is*        is 2 * (smoothing factor) + 1, so a*        value of 0 means no smoothing. A value of 1 or 2 is recommended.*/
PIX *
pixBackgroundNorm(PIX     *pixs,PIX     *pixim,PIX     *pixg,l_int32  sx,l_int32  sy,l_int32  thresh,l_int32  mincount,l_int32  bgval,l_int32  smoothx,l_int32  smoothy)
{
l_int32  d, allfg;
PIX     *pixm, *pixmi, *pixd;
PIX     *pixmr, *pixmg, *pixmb, *pixmri, *pixmgi, *pixmbi;PROCNAME("pixBackgroundNorm");if (!pixs)return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);d = pixGetDepth(pixs);if (d != 8 && d != 32)return (PIX *)ERROR_PTR("pixs not 8 or 32 bpp", procName, NULL);if (sx < 4 || sy < 4)return (PIX *)ERROR_PTR("sx and sy must be >= 4", procName, NULL);if (mincount > sx * sy) {L_WARNING("mincount too large for tile size\n", procName);mincount = (sx * sy) / 3;}/* If pixim exists, verify that it is not all foreground. */if (pixim) {pixInvert(pixim, pixim);pixZero(pixim, &allfg);pixInvert(pixim, pixim);if (allfg)return (PIX *)ERROR_PTR("pixim all foreground", procName, NULL);}pixd = NULL;if (d == 8) {pixm = NULL;pixGetBackgroundGrayMap(pixs, pixim, sx, sy, thresh, mincount, &pixm);if (!pixm) {L_WARNING("map not made; return a copy of the source\n", procName);return pixCopy(NULL, pixs);}pixmi = pixGetInvBackgroundMap(pixm, bgval, smoothx, smoothy);if (!pixmi)ERROR_PTR("pixmi not made", procName, NULL);elsepixd = pixApplyInvBackgroundGrayMap(pixs, pixmi, sx, sy);pixDestroy(&pixm);pixDestroy(&pixmi);}else {pixmr = pixmg = pixmb = NULL;pixGetBackgroundRGBMap(pixs, pixim, pixg, sx, sy, thresh,mincount, &pixmr, &pixmg, &pixmb);if (!pixmr || !pixmg || !pixmb) {pixDestroy(&pixmr);pixDestroy(&pixmg);pixDestroy(&pixmb);L_WARNING("map not made; return a copy of the source\n", procName);return pixCopy(NULL, pixs);}pixmri = pixGetInvBackgroundMap(pixmr, bgval, smoothx, smoothy);pixmgi = pixGetInvBackgroundMap(pixmg, bgval, smoothx, smoothy);pixmbi = pixGetInvBackgroundMap(pixmb, bgval, smoothx, smoothy);if (!pixmri || !pixmgi || !pixmbi)ERROR_PTR("not all pixm*i are made", procName, NULL);elsepixd = pixApplyInvBackgroundRGBMap(pixs, pixmri, pixmgi, pixmbi,sx, sy);pixDestroy(&pixmr);pixDestroy(&pixmg);pixDestroy(&pixmb);pixDestroy(&pixmri);pixDestroy(&pixmgi);pixDestroy(&pixmbi);}if (!pixd)ERROR_PTR("pixd not made", procName, NULL);pixCopyResolution(pixd, pixs);return pixd;
}

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3 pixGetBackgroundGrayMap

函数功能：局部背景测量

函数位置：adaptmap.c

/*------------------------------------------------------------------**                 Measurement of local background                  **------------------------------------------------------------------*/
/*!*  pixGetBackgroundGrayMap()**      Input:  pixs (8 bpp grayscale; not cmapped)*              pixim (<optional> 1 bpp 'image' mask; can be null; it*                     should not have all foreground pixels)*              sx, sy (tile size in pixels)*              thresh (threshold for determining foreground)*              mincount (min threshold on counts in a tile)*              &pixd (<return> 8 bpp grayscale map)*      Return: 0 if OK, 1 on error**  Notes:*      (1) The background is measured in regions that don't have*          images.  It is then propagated into the image regions,*          and finally smoothed in each image region.*/
l_int32
pixGetBackgroundGrayMap(PIX     *pixs,PIX     *pixim,l_int32  sx,l_int32  sy,l_int32  thresh,l_int32  mincount,PIX    **ppixd)
{
l_int32    w, h, wd, hd, wim, him, wpls, wplim, wpld, wplf;
l_int32    xim, yim, delx, nx, ny, i, j, k, m;
l_int32    count, sum, val8;
l_int32    empty, fgpixels;
l_uint32  *datas, *dataim, *datad, *dataf, *lines, *lineim, *lined, *linef;
l_float32  scalex, scaley;
PIX       *pixd, *piximi, *pixb, *pixf, *pixims;PROCNAME("pixGetBackgroundGrayMap");if (!ppixd)return ERROR_INT("&pixd not defined", procName, 1);*ppixd = NULL;if (!pixs || pixGetDepth(pixs) != 8)return ERROR_INT("pixs not defined or not 8 bpp", procName, 1);if (pixGetColormap(pixs))return ERROR_INT("pixs is colormapped", procName, 1);if (pixim && pixGetDepth(pixim) != 1)return ERROR_INT("pixim not 1 bpp", procName, 1);if (sx < 4 || sy < 4)return ERROR_INT("sx and sy must be >= 4", procName, 1);if (mincount > sx * sy) {L_WARNING("mincount too large for tile size\n", procName);mincount = (sx * sy) / 3;}/* Evaluate the 'image' mask, pixim, and make sure* it is not all fg. */fgpixels = 0;  /* boolean for existence of fg pixels in the image mask. */if (pixim) {piximi = pixInvert(NULL, pixim);  /* set non-'image' pixels to 1 */pixZero(piximi, &empty);pixDestroy(&piximi);if (empty)return ERROR_INT("pixim all fg; no background", procName, 1);pixZero(pixim, &empty);if (!empty)  /* there are fg pixels in pixim */fgpixels = 1;}/* Generate the foreground mask, pixf, which is at* full resolution.  These pixels will be ignored when* computing the background values. */pixb = pixThresholdToBinary(pixs, thresh);pixf = pixMorphSequence(pixb, "d7.1 + d1.7", 0);pixDestroy(&pixb);/* ------------- Set up the output map pixd --------------- *//* Generate pixd, which is reduced by the factors (sx, sy). */w = pixGetWidth(pixs);h = pixGetHeight(pixs);wd = (w + sx - 1) / sx;hd = (h + sy - 1) / sy;pixd = pixCreate(wd, hd, 8);/* Note: we only compute map values in tiles that are complete.* In general, tiles at right and bottom edges will not be* complete, and we must fill them in later. */nx = w / sx;ny = h / sy;wpls = pixGetWpl(pixs);datas = pixGetData(pixs);wpld = pixGetWpl(pixd);datad = pixGetData(pixd);wplf = pixGetWpl(pixf);dataf = pixGetData(pixf);for (i = 0; i < ny; i++) {lines = datas + sy * i * wpls;linef = dataf + sy * i * wplf;lined = datad + i * wpld;for (j = 0; j < nx; j++) {delx = j * sx;sum = 0;count = 0;for (k = 0; k < sy; k++) {for (m = 0; m < sx; m++) {if (GET_DATA_BIT(linef + k * wplf, delx + m) == 0) {sum += GET_DATA_BYTE(lines + k * wpls, delx + m);count++;}}}if (count >= mincount) {val8 = sum / count;SET_DATA_BYTE(lined, j, val8);}}}pixDestroy(&pixf);/* If there is an optional mask with fg pixels, erase the previous* calculation for the corresponding map pixels, setting the* map values to 0.   Then, when all the map holes are filled,* these erased pixels will be set by the surrounding map values.** The calculation here is relatively efficient: for each pixel* in pixd (which corresponds to a tile of mask pixels in pixim)* we look only at the pixel in pixim that is at the center* of the tile.  If the mask pixel is ON, we reset the map* pixel in pixd to 0, so that it can later be filled in. */pixims = NULL;if (pixim && fgpixels) {wim = pixGetWidth(pixim);him = pixGetHeight(pixim);dataim = pixGetData(pixim);wplim = pixGetWpl(pixim);for (i = 0; i < ny; i++) {yim = i * sy + sy / 2;if (yim >= him)break;lineim = dataim + yim * wplim;for (j = 0; j < nx; j++) {xim = j * sx + sx / 2;if (xim >= wim)break;if (GET_DATA_BIT(lineim, xim))pixSetPixel(pixd, j, i, 0);}}}/* Fill all the holes in the map. */if (pixFillMapHoles(pixd, nx, ny, L_FILL_BLACK)) {pixDestroy(&pixd);L_WARNING("can't make the map\n", procName);return 1;}/* Finally, for each connected region corresponding to the* 'image' mask, reset all pixels to their average value.* Each of these components represents an image (or part of one)* in the input, and this smooths the background values* in each of these regions. */if (pixim && fgpixels) {scalex = 1. / (l_float32)sx;scaley = 1. / (l_float32)sy;pixims = pixScaleBySampling(pixim, scalex, scaley);pixSmoothConnectedRegions(pixd, pixims, 2);pixDestroy(&pixims);}*ppixd = pixd;pixCopyResolution(*ppixd, pixs);return 0;
}

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4 pixThresholdToBinary

函数功能：

位置：grayquant.c

/*------------------------------------------------------------------**       Simple (pixelwise) binarization with fixed threshold       **------------------------------------------------------------------*/
/*!*  pixThresholdToBinary()**      Input:  pixs (4 or 8 bpp)*              threshold value*      Return: pixd (1 bpp), or null on error**  Notes:*      (1) If the source pixel is less than the threshold value,*          the dest will be 1; otherwise, it will be 0*/
PIX *
pixThresholdToBinary(PIX     *pixs,l_int32  thresh)
{
l_int32    d, w, h, wplt, wpld;
l_uint32  *datat, *datad;
PIX       *pixt, *pixd;PROCNAME("pixThresholdToBinary");if (!pixs)return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);pixGetDimensions(pixs, &w, &h, &d);if (d != 4 && d != 8)return (PIX *)ERROR_PTR("pixs must be 4 or 8 bpp", procName, NULL);if (thresh < 0)return (PIX *)ERROR_PTR("thresh must be non-negative", procName, NULL);if (d == 4 && thresh > 16)return (PIX *)ERROR_PTR("4 bpp thresh not in {0-16}", procName, NULL);if (d == 8 && thresh > 256)return (PIX *)ERROR_PTR("8 bpp thresh not in {0-256}", procName, NULL);if ((pixd = pixCreate(w, h, 1)) == NULL)return (PIX *)ERROR_PTR("pixd not made", procName, NULL);pixCopyResolution(pixd, pixs);datad = pixGetData(pixd);wpld = pixGetWpl(pixd);/* Remove colormap if it exists.  If there is a colormap,* pixt will be 8 bpp regardless of the depth of pixs. */pixt = pixRemoveColormap(pixs, REMOVE_CMAP_TO_GRAYSCALE);datat = pixGetData(pixt);wplt = pixGetWpl(pixt);if (pixGetColormap(pixs) && d == 4) {  /* promoted to 8 bpp */d = 8;thresh *= 16;}thresholdToBinaryLow(datad, w, h, wpld, datat, d, wplt, thresh);pixDestroy(&pixt);return pixd;
}

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5 pixMorphSequence

函数功能：

位置：morphseq.c

/*-------------------------------------------------------------------------**         Run a sequence of binary rasterop morphological operations      **-------------------------------------------------------------------------*/
/*!*  pixMorphSequence()**      Input:  pixs*              sequence (string specifying sequence)*              dispsep (controls debug display of each result in the sequence:*                       0: no output*                       > 0: gives horizontal separation in pixels between*                            successive displays*                       < 0: pdf output; abs(dispsep) is used for naming)*      Return: pixd, or null on error**  Notes:*      (1) This does rasterop morphology on binary images.*      (2) This runs a pipeline of operations; no branching is allowed.*      (3) This only uses brick Sels, which are created on the fly.*          In the future this will be generalized to extract Sels from*          a Sela by name.*      (4) A new image is always produced; the input image is not changed.*      (5) This contains an interpreter, allowing sequences to be*          generated and run.*      (6) The format of the sequence string is defined below.*      (7) In addition to morphological operations, rank order reduction*          and replicated expansion allow operations to take place*          downscaled by a power of 2.*      (8) Intermediate results can optionally be displayed.*      (9) Thanks to Dar-Shyang Lee, who had the idea for this and*          built the first implementation.*      (10) The sequence string is formatted as follows:*            - An arbitrary number of operations,  each separated*              by a '+' character.  White space is ignored.*            - Each operation begins with a case-independent character*              specifying the operation:*                 d or D  (dilation)*                 e or E  (erosion)*                 o or O  (opening)*                 c or C  (closing)*                 r or R  (rank binary reduction)*                 x or X  (replicative binary expansion)*                 b or B  (add a border of 0 pixels of this size)*            - The args to the morphological operations are bricks of hits,*              and are formatted as a.b, where a and b are horizontal and*              vertical dimensions, rsp.*            - The args to the reduction are a sequence of up to 4 integers,*              each from 1 to 4.*            - The arg to the expansion is a power of two, in the set*              {2, 4, 8, 16}.*      (11) An example valid sequence is:*               "b32 + o1.3 + C3.1 + r23 + e2.2 + D3.2 + X4"*           In this example, the following operation sequence is carried out:*             * b32: Add a 32 pixel border around the input image*             * o1.3: Opening with vert sel of length 3 (e.g., 1 x 3)*             * C3.1: Closing with horiz sel of length 3  (e.g., 3 x 1)*             * r23: Two successive 2x2 reductions with rank 2 in the first*                    and rank 3 in the second.  The result is a 4x reduced pix.*             * e2.2: Erosion with a 2x2 sel (origin will be at x,y: 0,0)*             * d3.2: Dilation with a 3x2 sel (origin will be at x,y: 1,0)*             * X4: 4x replicative expansion, back to original resolution*      (12) The safe closing is used.  However, if you implement a*           closing as separable dilations followed by separable erosions,*           it will not be safe.  For that situation, you need to add*           a sufficiently large border as the first operation in*           the sequence.  This will be removed automatically at the*           end.  There are two cautions:*              - When computing what is sufficient, remember that if*                reductions are carried out, the border is also reduced.*              - The border is removed at the end, so if a border is*                added at the beginning, the result must be at the*                same resolution as the input!*/
PIX *
pixMorphSequence(PIX         *pixs,const char  *sequence,l_int32      dispsep)
{
char    *rawop, *op, *fname;
char     buf[256];
l_int32  nops, i, j, nred, fact, w, h, x, y, border, pdfout;
l_int32  level[4];
PIX     *pixt1, *pixt2;
PIXA    *pixa;
SARRAY  *sa;PROCNAME("pixMorphSequence");if (!pixs)return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);if (!sequence)return (PIX *)ERROR_PTR("sequence not defined", procName, NULL);/* Split sequence into individual operations */sa = sarrayCreate(0);sarraySplitString(sa, sequence, "+");nops = sarrayGetCount(sa);pdfout = (dispsep < 0) ? 1 : 0;if (!morphSequenceVerify(sa)) {sarrayDestroy(&sa);return (PIX *)ERROR_PTR("sequence not valid", procName, NULL);}/* Parse and operate */pixa = NULL;if (pdfout) {pixa = pixaCreate(0);pixaAddPix(pixa, pixs, L_CLONE);snprintf(buf, sizeof(buf), "/tmp/seq_output_%d.pdf", L_ABS(dispsep));fname = genPathname(buf, NULL);}border = 0;pixt1 = pixCopy(NULL, pixs);pixt2 = NULL;x = y = 0;for (i = 0; i < nops; i++) {rawop = sarrayGetString(sa, i, 0);op = stringRemoveChars(rawop, " \n\t");switch (op[0]){case 'd':case 'D':sscanf(&op[1], "%d.%d", &w, &h);pixt2 = pixDilateBrick(NULL, pixt1, w, h);pixSwapAndDestroy(&pixt1, &pixt2);break;case 'e':case 'E':sscanf(&op[1], "%d.%d", &w, &h);pixt2 = pixErodeBrick(NULL, pixt1, w, h);pixSwapAndDestroy(&pixt1, &pixt2);break;case 'o':case 'O':sscanf(&op[1], "%d.%d", &w, &h);pixOpenBrick(pixt1, pixt1, w, h);break;case 'c':case 'C':sscanf(&op[1], "%d.%d", &w, &h);pixCloseSafeBrick(pixt1, pixt1, w, h);break;case 'r':case 'R':nred = strlen(op) - 1;for (j = 0; j < nred; j++)level[j] = op[j + 1] - '0';for (j = nred; j < 4; j++)level[j] = 0;pixt2 = pixReduceRankBinaryCascade(pixt1, level[0], level[1],level[2], level[3]);pixSwapAndDestroy(&pixt1, &pixt2);break;case 'x':case 'X':sscanf(&op[1], "%d", &fact);pixt2 = pixExpandReplicate(pixt1, fact);pixSwapAndDestroy(&pixt1, &pixt2);break;case 'b':case 'B':sscanf(&op[1], "%d", &border);pixt2 = pixAddBorder(pixt1, border, 0);pixSwapAndDestroy(&pixt1, &pixt2);break;default:/* All invalid ops are caught in the first pass */break;}FREE(op);/* Debug output */if (dispsep > 0) {pixDisplay(pixt1, x, y);x += dispsep;}if (pdfout)pixaAddPix(pixa, pixt1, L_COPY);}if (border > 0) {pixt2 = pixRemoveBorder(pixt1, border);pixSwapAndDestroy(&pixt1, &pixt2);}if (pdfout) {pixaConvertToPdf(pixa, 0, 1.0, L_FLATE_ENCODE, 0, fname, fname);FREE(fname);pixaDestroy(&pixa);}sarrayDestroy(&sa);return pixt1;
}

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转载于:https://www.cnblogs.com/sdlypyzq/p/5149200.html