示例#1
0
/*!
 * \brief   pixModifyStrokeWidth()
 *
 * \param[in]   pixa  of 1 bpp pix
 * \param[in]   width  measured average stroke width
 * \param[in]   targetw  desired stroke width
 * \return  pix  with modified stroke width, or NULL on error
 */
PIX *
pixModifyStrokeWidth(PIX       *pixs,
                     l_float32  width,
                     l_float32  targetw)
{
char     buf[16];
l_int32  diff, size;

    PROCNAME("pixModifyStrokeWidth");

    if (!pixs || (pixGetDepth(pixs) != 1))
        return (PIX *)ERROR_PTR("pixs undefined or not 1 bpp", procName, NULL);
    if (targetw < 1)
        return (PIX *)ERROR_PTR("target width < 1", procName, NULL);

    diff = lept_roundftoi(targetw - width);
    if (diff == 0) return pixCopy(NULL, pixs);

    size = L_ABS(diff) + 1;
    if (diff < 0)  /* erode */
        snprintf(buf, sizeof(buf), "e%d.%d", size, size);
    else  /* diff > 0; dilate */
        snprintf(buf, sizeof(buf), "d%d.%d", size, size);
    return pixMorphSequence(pixs, buf, 0);
}
示例#2
0
l_int32 main(int    argc,
             char **argv)
{
char          buf[512];
l_int32       delx, dely, etransx, etransy, w, h, area1, area2;
l_int32      *stab, *ctab;
l_float32     cx1, cy1, cx2, cy2, score;
PIX          *pix0, *pix1, *pix2;
L_REGPARAMS  *rp;

    if (regTestSetup(argc, argv, &rp))
        return 1;


    /* ------------ Test of pixBestCorrelation() --------------- */
    pix0 = pixRead("harmoniam100-11.png");
    pix1 = pixConvertTo1(pix0, 160);
    pixGetDimensions(pix1, &w, &h, NULL);

        /* Now make a smaller image, translated by (-32, -12)
         * Except for the resizing, this is equivalent to
         *     pix2 = pixTranslate(NULL, pix1, -32, -12, L_BRING_IN_WHITE);  */
    pix2 = pixCreate(w - 10, h, 1);
    pixRasterop(pix2, 0, 0, w, h, PIX_SRC, pix1, 32, 12);

        /* Get the number of FG pixels and the centroid locations */
    stab = makePixelSumTab8();
    ctab = makePixelCentroidTab8();
    pixCountPixels(pix1, &area1, stab);
    pixCountPixels(pix2, &area2, stab);
    pixCentroid(pix1, ctab, stab, &cx1, &cy1);
    pixCentroid(pix2, ctab, stab, &cx2, &cy2);
    etransx = lept_roundftoi(cx1 - cx2);
    etransy = lept_roundftoi(cy1 - cy2);
    fprintf(stderr, "delta cx = %d, delta cy = %d\n",
            etransx, etransy);

        /* Get the best correlation, searching around the translation
         * where the centroids coincide */
    pixBestCorrelation(pix1, pix2, area1, area2, etransx, etransy,
                       4, stab, &delx, &dely, &score, 5);
    fprintf(stderr, "delx = %d, dely = %d, score = %7.4f\n",
            delx, dely, score);
    regTestCompareValues(rp, 32, delx, 0);   /* 0 */
    regTestCompareValues(rp, 12, dely, 0);   /* 1 */
    regTestCheckFile(rp, "/tmp/junkcorrel_5.png");   /* 2 */
    lept_rm(NULL, "junkcorrel_5.png");
    FREE(stab);
    FREE(ctab);
    pixDestroy(&pix0);
    pixDestroy(&pix1);
    pixDestroy(&pix2);


    /* ------------ Test of pixCompareWithTranslation() ------------ */
        /* Now use the pyramid to get the result.  Do a translation
         * to remove pixels at the bottom from pix2, so that the
         * centroids are initially far apart. */
    pix1 = pixRead("harmoniam-11.tif");
    pix2 = pixTranslate(NULL, pix1, -45, 25, L_BRING_IN_WHITE);
    l_pdfSetDateAndVersion(0);
    pixCompareWithTranslation(pix1, pix2, 160, &delx, &dely, &score, 1);
    pixDestroy(&pix1);
    pixDestroy(&pix2);
    fprintf(stderr, "delx = %d, dely = %d\n", delx, dely);
    regTestCompareValues(rp, 45, delx, 0);   /* 3 */
    regTestCompareValues(rp, -25, dely, 0);   /* 4 */
    regTestCheckFile(rp, "/tmp/junkcmp.pdf");   /* 5 */
    regTestCheckFile(rp, "/tmp/junkcorrel.pdf");  /* 6 */

    return regTestCleanup(rp);
}
示例#3
0
l_int32 main(int    argc,
             char **argv)
{
l_int32       irval, igval, ibval;
l_float32     rval, gval, bval, fract, fgfract;
L_BMF        *bmf;
BOX          *box;
BOXA         *boxa;
FPIX         *fpix;
PIX          *pixs, *pix1, *pix2, *pix3, *pix4, *pix5, *pix6, *pix7;
PIX          *pix8, *pix9, *pix10, *pix11, *pix12, *pix13, *pix14, *pix15;
PIXA         *pixa;
L_REGPARAMS  *rp;

    if (regTestSetup(argc, argv, &rp))
              return 1;

    pixa = pixaCreate(0);
    pixs = pixRead("breviar38.150.jpg");
/*    pixs = pixRead("breviar32.150.jpg"); */
    pixaAddPix(pixa, pixs, L_CLONE);
    regTestWritePixAndCheck(rp, pixs, IFF_JFIF_JPEG);  /* 0 */
    pixDisplayWithTitle(pixs, 0, 0, "Input image", rp->display);

        /* Extract the blue component, which is small in all the text
         * regions, including in the highlight color region */
    pix1 = pixGetRGBComponent(pixs, COLOR_BLUE);
    pixaAddPix(pixa, pix1, L_CLONE);
    regTestWritePixAndCheck(rp, pix1, IFF_JFIF_JPEG);  /* 1 */
    pixDisplayWithTitle(pix1, 200, 0, "Blue component", rp->display);

        /* Do a background normalization, with the background set to
         * approximately 200 */
    pix2 = pixBackgroundNormSimple(pix1, NULL, NULL);
    pixaAddPix(pixa, pix2, L_COPY);
    regTestWritePixAndCheck(rp, pix2, IFF_JFIF_JPEG);  /* 2 */
    pixDisplayWithTitle(pix2, 400, 0, "BG normalized to 200", rp->display);

        /* Do a linear transform on the gray pixels, with 50 going to
         * black and 160 going to white.  50 is sufficiently low to
         * make both the red and black print quite dark.  Quantize
         * to a few equally spaced gray levels.  This is the image
         * to which highlight color will be applied. */
    pixGammaTRC(pix2, pix2, 1.0, 50, 160);
    pix3 = pixThresholdOn8bpp(pix2, 7, 1);
    pixaAddPix(pixa, pix3, L_CLONE);
    regTestWritePixAndCheck(rp, pix3, IFF_JFIF_JPEG);  /* 3 */
    pixDisplayWithTitle(pix3, 600, 0, "Basic quantized with white bg",
                        rp->display);

        /* Identify the regions of red text.  First, make a mask
         * consisting of all pixels such that (R-B)/B is larger
         * than 2.0.  This will have all the red, plus a lot of
         * the dark pixels. */
    fpix = pixComponentFunction(pixs, 1.0, 0.0, -1.0, 0.0, 0.0, 1.0);
    pix4 = fpixThresholdToPix(fpix, 2.0);
    pixInvert(pix4, pix4);  /* red plus some dark text */
    pixaAddPix(pixa, pix4, L_CLONE);
    regTestWritePixAndCheck(rp, pix4, IFF_PNG);  /* 4 */
    pixDisplayWithTitle(pix4, 800, 0, "Red plus dark pixels", rp->display);

        /* Make a mask consisting of all the red and background pixels */
    pix5 = pixGetRGBComponent(pixs, COLOR_RED);
    pix6 = pixThresholdToBinary(pix5, 128);
    pixInvert(pix6, pix6);  /* red plus background (white) */

        /* Intersect the two masks to get a mask consisting of pixels
         * that are almost certainly red.  This is the seed. */
    pix7 = pixAnd(NULL, pix4, pix6);  /* red only (seed) */
    pixaAddPix(pixa, pix7, L_COPY);
    regTestWritePixAndCheck(rp, pix7, IFF_PNG);  /* 5 */
    pixDisplayWithTitle(pix7, 0, 600, "Seed for red color", rp->display);

        /* Make the clipping mask by thresholding the image with
         * the background cleaned to white. */
    pix8 =  pixThresholdToBinary(pix2, 230);  /* mask */
    pixaAddPix(pixa, pix8, L_CLONE);
    regTestWritePixAndCheck(rp, pix8, IFF_PNG);  /* 6 */
    pixDisplayWithTitle(pix8, 200, 600, "Clipping mask for red components",
                        rp->display);

        /* Fill into the mask from the seed */
    pixSeedfillBinary(pix7, pix7, pix8, 8);  /* filled: red plus touching */
    regTestWritePixAndCheck(rp, pix7, IFF_PNG);  /* 7 */
    pixDisplayWithTitle(pix7, 400, 600, "Red component mask filled",
                        rp->display);

        /* Remove long horizontal and vertical lines from the filled result */
    pix9 = pixMorphSequence(pix7, "o40.1", 0);
    pixSubtract(pix7, pix7, pix9);  /* remove long horizontal lines */
    pixDestroy(&pix9);
    pix9 = pixMorphSequence(pix7, "o1.40", 0);
    pixSubtract(pix7, pix7, pix9);  /* remove long vertical lines */

        /* Close the regions to be colored  */
    pix10 = pixMorphSequence(pix7, "c5.1", 0);
    pixaAddPix(pixa, pix10, L_CLONE);
    regTestWritePixAndCheck(rp, pix10, IFF_PNG);  /* 8 */
    pixDisplayWithTitle(pix10, 600, 600,
                        "Components defining regions allowing coloring",
                        rp->display);

        /* Sanity check on amount to be colored.  Only accept images
         * with less than 10% of all the pixels with highlight color */
    pixForegroundFraction(pix10, &fgfract);
    if (fgfract >= 0.10) {
        L_INFO("too much highlighting: fract = %6.3f; removing it\n",
               rp->testname, fgfract);
        pixClearAll(pix10);
        pixSetPixel(pix10, 0, 0, 1);
    }

        /* Get the bounding boxes of the regions to be colored */
    boxa = pixConnCompBB(pix10, 8);

        /* Get a color to paint that is representative of the
         * actual highlight color in the image.  Scale each
         * color component up from the average by an amount necessary
         * to saturate the red.  Then divide the green and
         * blue components by 2.0.  */
    pixGetAverageMaskedRGB(pixs, pix7, 0, 0, 1, L_MEAN_ABSVAL,
                           &rval, &gval, &bval);
    fract = 255.0 / rval;
    irval = lept_roundftoi(fract * rval);
    igval = lept_roundftoi(fract * gval / 2.0);
    ibval = lept_roundftoi(fract * bval / 2.0);
    fprintf(stderr, "(r,g,b) = (%d,%d,%d)\n", irval, igval, ibval);

        /* Color the quantized gray version in the selected regions */
    pix11 = pixColorGrayRegions(pix3, boxa, L_PAINT_DARK, 220, irval,
                                igval, ibval);
    pixaAddPix(pixa, pix11, L_CLONE);
    regTestWritePixAndCheck(rp, pix11, IFF_PNG);  /* 9 */
    pixDisplayWithTitle(pix11, 800, 600, "Final colored result", rp->display);
    pixaAddPix(pixa, pixs, L_CLONE);

        /* Test colorization on gray and cmapped gray */
    pix12 = pixColorGrayRegions(pix2, boxa, L_PAINT_DARK, 220, 0, 255, 0);
    pixaAddPix(pixa, pix12, L_CLONE);
    regTestWritePixAndCheck(rp, pix12, IFF_PNG);  /* 10 */
    pixDisplayWithTitle(pix12, 900, 600, "Colorizing boxa gray", rp->display);

    box = boxCreate(200, 200, 250, 350);
    pix13 = pixCopy(NULL, pix2);
    pixColorGray(pix13, box, L_PAINT_DARK, 220, 0, 0, 255);
    pixaAddPix(pixa, pix13, L_CLONE);
    regTestWritePixAndCheck(rp, pix13, IFF_PNG);  /* 11 */
    pixDisplayWithTitle(pix13, 1000, 600, "Colorizing box gray", rp->display);

    pix14 = pixThresholdTo4bpp(pix2, 6, 1);
    pix15 = pixColorGrayRegions(pix14, boxa, L_PAINT_DARK, 220, 0, 0, 255);
    pixaAddPix(pixa, pix15, L_CLONE);
    regTestWritePixAndCheck(rp, pix15, IFF_PNG);  /* 12 */
    pixDisplayWithTitle(pix15, 1100, 600, "Colorizing boxa cmap", rp->display);

    pixColorGrayCmap(pix14, box, L_PAINT_DARK, 0, 255, 255);
    pixaAddPix(pixa, pix14, L_CLONE);
    regTestWritePixAndCheck(rp, pix14, IFF_PNG);  /* 13 */
    pixDisplayWithTitle(pix14, 1200, 600, "Colorizing box cmap", rp->display);
    boxDestroy(&box);

        /* Generate a pdf of the intermediate results */
    lept_mkdir("lept");
    L_INFO("Writing to /tmp/lept/colorize.pdf\n", rp->testname);
    pixaConvertToPdf(pixa, 90, 1.0, 0, 0, "Colorizing highlighted text",
                     "/tmp/lept/colorize.pdf");


    pixaDestroy(&pixa);
    fpixDestroy(&fpix);
    boxDestroy(&box);
    boxaDestroy(&boxa);
    pixDestroy(&pixs);
    pixDestroy(&pix1);
    pixDestroy(&pix2);
    pixDestroy(&pix3);
    pixDestroy(&pix4);
    pixDestroy(&pix5);
    pixDestroy(&pix6);
    pixDestroy(&pix7);
    pixDestroy(&pix8);
    pixDestroy(&pix9);
    pixDestroy(&pix10);
    pixDestroy(&pix11);
    pixDestroy(&pix12);
    pixDestroy(&pix13);
    pixDestroy(&pix14);
    pixDestroy(&pix15);

        /* Test the color detector */
    pixa = pixaCreate(7);
    bmf = bmfCreate("./fonts", 4);
    pix1 = TestForRedColor(rp, "brev06.75.jpg", 1, bmf);  /* 14 */
    pixaAddPix(pixa, pix1, L_INSERT);
    pix1 = TestForRedColor(rp, "brev10.75.jpg", 0, bmf);  /* 15 */
    pixaAddPix(pixa, pix1, L_INSERT);
    pix1 = TestForRedColor(rp, "brev14.75.jpg", 1, bmf);  /* 16 */
    pixaAddPix(pixa, pix1, L_INSERT);
    pix1 = TestForRedColor(rp, "brev20.75.jpg", 1, bmf);  /* 17 */
    pixaAddPix(pixa, pix1, L_INSERT);
    pix1 = TestForRedColor(rp, "brev36.75.jpg", 0, bmf);  /* 18 */
    pixaAddPix(pixa, pix1, L_INSERT);
    pix1 = TestForRedColor(rp, "brev53.75.jpg", 1, bmf);  /* 19 */
    pixaAddPix(pixa, pix1, L_INSERT);
    pix1 = TestForRedColor(rp, "brev56.75.jpg", 1, bmf);  /* 20 */
    pixaAddPix(pixa, pix1, L_INSERT);

        /* Generate a pdf of the color detector results */
    L_INFO("Writing to /tmp/lept/colordetect.pdf\n", rp->testname);
    pixaConvertToPdf(pixa, 45, 1.0, 0, 0, "Color detection",
                     "/tmp/lept/colordetect.pdf");
    pixaDestroy(&pixa);
    bmfDestroy(&bmf);

    return regTestCleanup(rp);
}
示例#4
0
l_int32 main(int    argc,
             char **argv)
{
l_int32       delx, dely, etransx, etransy, w, h, area1, area2;
l_int32      *stab, *ctab;
l_float32     cx1, cy1, cx2, cy2, score, fract;
PIX          *pix0, *pix1, *pix2, *pix3, *pix4, *pix5;
L_REGPARAMS  *rp;

    if (regTestSetup(argc, argv, &rp))
        return 1;


    /* ------------ Test of pixBestCorrelation() --------------- */
    pix0 = pixRead("harmoniam100-11.png");
    pix1 = pixConvertTo1(pix0, 160);
    pixGetDimensions(pix1, &w, &h, NULL);

        /* Now make a smaller image, translated by (-32, -12)
         * Except for the resizing, this is equivalent to
         *     pix2 = pixTranslate(NULL, pix1, -32, -12, L_BRING_IN_WHITE);  */
    pix2 = pixCreate(w - 10, h, 1);
    pixRasterop(pix2, 0, 0, w, h, PIX_SRC, pix1, 32, 12);

        /* Get the number of FG pixels and the centroid locations */
    stab = makePixelSumTab8();
    ctab = makePixelCentroidTab8();
    pixCountPixels(pix1, &area1, stab);
    pixCountPixels(pix2, &area2, stab);
    pixCentroid(pix1, ctab, stab, &cx1, &cy1);
    pixCentroid(pix2, ctab, stab, &cx2, &cy2);
    etransx = lept_roundftoi(cx1 - cx2);
    etransy = lept_roundftoi(cy1 - cy2);
    fprintf(stderr, "delta cx = %d, delta cy = %d\n",
            etransx, etransy);

        /* Get the best correlation, searching around the translation
         * where the centroids coincide */
    pixBestCorrelation(pix1, pix2, area1, area2, etransx, etransy,
                       4, stab, &delx, &dely, &score, 5);
    fprintf(stderr, "delx = %d, dely = %d, score = %7.4f\n",
            delx, dely, score);
    regTestCompareValues(rp, 32, delx, 0);   /* 0 */
    regTestCompareValues(rp, 12, dely, 0);   /* 1 */
    lept_mv("/tmp/lept/correl_5.png", "regout", NULL, NULL);
    regTestCheckFile(rp, "/tmp/regout/correl_5.png");   /* 2 */
    lept_free(stab);
    lept_free(ctab);
    pixDestroy(&pix0);
    pixDestroy(&pix1);
    pixDestroy(&pix2);


    /* ------------ Test of pixCompareWithTranslation() ------------ */
        /* Now use the pyramid to get the result.  Do a translation
         * to remove pixels at the bottom from pix2, so that the
         * centroids are initially far apart. */
    pix1 = pixRead("harmoniam-11.tif");
    pix2 = pixTranslate(NULL, pix1, -45, 25, L_BRING_IN_WHITE);
    l_pdfSetDateAndVersion(0);
    pixCompareWithTranslation(pix1, pix2, 160, &delx, &dely, &score, 1);
    pixDestroy(&pix1);
    pixDestroy(&pix2);
    fprintf(stderr, "delx = %d, dely = %d\n", delx, dely);
    regTestCompareValues(rp, 45, delx, 0);   /* 3 */
    regTestCompareValues(rp, -25, dely, 0);   /* 4 */
    lept_mv("/tmp/lept/correl.pdf", "regout", NULL, NULL);
    lept_mv("/tmp/lept/compare.pdf", "regout", NULL, NULL);
    regTestCheckFile(rp, "/tmp/regout/compare.pdf");   /* 5 */
    regTestCheckFile(rp, "/tmp/regout/correl.pdf");  /* 6 */

    /* ------------ Test of pixGetPerceptualDiff() --------------- */
    pix0 = pixRead("greencover.jpg");
    pix1 = pixRead("redcover.jpg");  /* pre-scaled to the same size */
        /* Apply directly to the color images */
    pixGetPerceptualDiff(pix0, pix1, 1, 3, 20, &fract, &pix2, &pix3);
    fprintf(stderr, "Fraction of color pixels = %f\n", fract);
    regTestCompareValues(rp, 0.061252, fract, 0.01);  /* 7 */
    regTestWritePixAndCheck(rp, pix2, IFF_JFIF_JPEG);  /* 8 */
    regTestWritePixAndCheck(rp, pix3, IFF_TIFF_G4);  /* 9 */
    pixDestroy(&pix2);
    pixDestroy(&pix3);
        /* Apply to grayscale images */
    pix2 = pixConvertTo8(pix0, 0);
    pix3 = pixConvertTo8(pix1, 0);
    pixGetPerceptualDiff(pix2, pix3, 1, 3, 20, &fract, &pix4, &pix5);
    fprintf(stderr, "Fraction of grayscale pixels = %f\n", fract);
    regTestCompareValues(rp, 0.046928, fract, 0.0002);  /* 10 */
    regTestWritePixAndCheck(rp, pix4, IFF_JFIF_JPEG);  /* 11 */
    regTestWritePixAndCheck(rp, pix5, IFF_TIFF_G4);  /* 12 */
    pixDestroy(&pix0);
    pixDestroy(&pix1);
    pixDestroy(&pix2);
    pixDestroy(&pix3);
    pixDestroy(&pix4);
    pixDestroy(&pix5);

    return regTestCleanup(rp);
}