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NAME

Image::Leptonica::Func::selgen

VERSION

version 0.04

selgen.c

selgen.c

    This file contains functions that generate hit-miss Sels
    for doing a loose match to a small bitmap.  The hit-miss
    Sel is made from a given bitmap.  Several "knobs"
    are available to control the looseness of the match.
    In general, a tight match will have fewer false positives
    (bad matches) but more false negatives (missed patterns).
    The values to be used depend on the quality and variation
    of the image in which the pattern is to be searched,
    and the relative penalties of false positives and
    false negatives.  Default values for the three knobs --
    minimum distance to boundary pixels, number of extra pixels
    added to selected sides, and minimum acceptable runlength
    in eroded version -- are provided.

    The generated hit-miss Sels can always be used in the
    rasterop implementation of binary morphology (in morph.h).
    If they are small enough (not more than 31 pixels extending
    in any direction from the Sel origin), they can also be used
    to auto-generate dwa code (fmorphauto.c).


    Generate a subsampled structuring element
          SEL     *pixGenerateSelWithRuns()
          SEL     *pixGenerateSelRandom()
          SEL     *pixGenerateSelBoundary()

    Accumulate data on runs along lines
          NUMA    *pixGetRunCentersOnLine()
          NUMA    *pixGetRunsOnLine()

    Subsample boundary pixels in relatively ordered way
          PTA     *pixSubsampleBoundaryPixels()
          PTA     *adjacentOnPixelInRaster()

    Display generated sel with originating image
          PIX     *pixDisplayHitMissSel()

FUNCTIONS

adjacentOnPixelInRaster

l_int32 adjacentOnPixelInRaster ( PIX *pixs, l_int32 x, l_int32 y, l_int32 *pxa, l_int32 *pya )

adjacentOnPixelInRaster()

    Input:  pixs (1 bpp)
            x, y (current pixel)
            xa, ya (adjacent ON pixel, found by simple CCW search)
    Return: 1 if a pixel is found; 0 otherwise or on error

Notes:
    (1) Search is in 4-connected directions first; then on diagonals.
        This allows traversal along a 4-connected boundary.

pixDisplayHitMissSel

PIX * pixDisplayHitMissSel ( PIX *pixs, SEL *sel, l_int32 scalefactor, l_uint32 hitcolor, l_uint32 misscolor )

pixDisplayHitMissSel()

    Input:  pixs (1 bpp)
            sel (hit-miss in general)
            scalefactor (an integer >= 1; use 0 for default)
            hitcolor (RGB0 color for center of hit pixels)
            misscolor (RGB0 color for center of miss pixels)
    Return: pixd (RGB showing both pixs and sel), or null on error
Notes:
  (1) We don't allow scalefactor to be larger than MAX_SEL_SCALEFACTOR
  (2) The colors are conveniently given as 4 bytes in hex format,
      such as 0xff008800.  The least significant byte is ignored.

pixGenerateSelBoundary

SEL * pixGenerateSelBoundary ( PIX *pixs, l_int32 hitdist, l_int32 missdist, l_int32 hitskip, l_int32 missskip, l_int32 topflag, l_int32 botflag, l_int32 leftflag, l_int32 rightflag, PIX **ppixe )

pixGenerateSelBoundary()

    Input:  pix (1 bpp, typically small, to be used as a pattern)
            hitdist (min distance from fg boundary pixel)
            missdist (min distance from bg boundary pixel)
            hitskip (number of boundary pixels skipped between hits)
            missskip (number of boundary pixels skipped between misses)
            topflag (flag for extra pixels of bg added above)
            botflag (flag for extra pixels of bg added below)
            leftflag (flag for extra pixels of bg added to left)
            rightflag (flag for extra pixels of bg added to right)
            &pixe (<optional return> input pix expanded by extra pixels)
    Return: sel (hit-miss for input pattern), or null on error

Notes:
  (1) All fg elements selected are exactly hitdist pixels away from
      the nearest fg boundary pixel, and ditto for bg elements.
      Valid inputs of hitdist and missdist are 0, 1, 2, 3 and 4.
      For example, a hitdist of 0 puts the hits at the fg boundary.
      Usually, the distances should be > 0 avoid the effect of
      noise at the boundary.
  (2) Set hitskip < 0 if no hits are to be used.  Ditto for missskip.
      If both hitskip and missskip are < 0, the sel would be empty,
      and NULL is returned.
  (3) The 4 flags determine whether the sel is increased on that side
      to allow bg misses to be placed all along that boundary.
      The increase in sel size on that side is the minimum necessary
      to allow the misses to be placed at mindist.  For text characters,
      the topflag and botflag are typically set to 1, and the leftflag
      and rightflag to 0.
  (4) The input pix, as extended by the extra pixels on selected sides,
      can optionally be returned.  For debugging, call
      pixDisplayHitMissSel() to visualize the hit-miss sel superimposed
      on the generating bitmap.
  (5) This is probably the best of the three sel generators, in the
      sense that you have the most flexibility with the smallest number
      of hits and misses.

pixGenerateSelRandom

SEL * pixGenerateSelRandom ( PIX *pixs, l_float32 hitfract, l_float32 missfract, l_int32 distance, l_int32 toppix, l_int32 botpix, l_int32 leftpix, l_int32 rightpix, PIX **ppixe )

pixGenerateSelRandom()

    Input:  pix (1 bpp, typically small, to be used as a pattern)
            hitfract (fraction of allowable fg pixels that are hits)
            missfract (fraction of allowable bg pixels that are misses)
            distance (min distance from boundary pixel; use 0 for default)
            toppix (number of extra pixels of bg added above)
            botpix (number of extra pixels of bg added below)
            leftpix (number of extra pixels of bg added to left)
            rightpix (number of extra pixels of bg added to right)
            &pixe (<optional return> input pix expanded by extra pixels)
    Return: sel (hit-miss for input pattern), or null on error

Notes:
  (1) Either of hitfract and missfract can be zero.  If both are zero,
      the sel would be empty, and NULL is returned.
  (2) No elements are selected that are less than 'distance' pixels away
      from a boundary pixel of the same color.  This makes the
      match much more robust to edge noise.  Valid inputs of
      'distance' are 0, 1, 2, 3 and 4.  If distance is either 0 or
      greater than 4, we reset it to the default value.
  (3) The 4 numbers for adding rectangles of pixels outside the fg
      can be use if the pattern is expected to be surrounded by bg
      (white) pixels.  On the other hand, if the pattern may be near
      other fg (black) components on some sides, use 0 for those sides.
  (4) The input pix, as extended by the extra pixels on selected sides,
      can optionally be returned.  For debugging, call
      pixDisplayHitMissSel() to visualize the hit-miss sel superimposed
      on the generating bitmap.

pixGenerateSelWithRuns

SEL * pixGenerateSelWithRuns ( PIX *pixs, l_int32 nhlines, l_int32 nvlines, l_int32 distance, l_int32 minlength, l_int32 toppix, l_int32 botpix, l_int32 leftpix, l_int32 rightpix, PIX **ppixe )

pixGenerateSelWithRuns()

    Input:  pix (1 bpp, typically small, to be used as a pattern)
            nhlines (number of hor lines along which elements are found)
            nvlines (number of vert lines along which elements are found)
            distance (min distance from boundary pixel; use 0 for default)
            minlength (min runlength to set hit or miss; use 0 for default)
            toppix (number of extra pixels of bg added above)
            botpix (number of extra pixels of bg added below)
            leftpix (number of extra pixels of bg added to left)
            rightpix (number of extra pixels of bg added to right)
            &pixe (<optional return> input pix expanded by extra pixels)
    Return: sel (hit-miss for input pattern), or null on error

Notes:
  (1) The horizontal and vertical lines along which elements are
      selected are roughly equally spaced.  The actual locations of
      the hits and misses are the centers of respective run-lengths.
  (2) No elements are selected that are less than 'distance' pixels away
      from a boundary pixel of the same color.  This makes the
      match much more robust to edge noise.  Valid inputs of
      'distance' are 0, 1, 2, 3 and 4.  If distance is either 0 or
      greater than 4, we reset it to the default value.
  (3) The 4 numbers for adding rectangles of pixels outside the fg
      can be use if the pattern is expected to be surrounded by bg
      (white) pixels.  On the other hand, if the pattern may be near
      other fg (black) components on some sides, use 0 for those sides.
  (4) The pixels added to a side allow you to have miss elements there.
      There is a constraint between distance, minlength, and
      the added pixels for this to work.  We illustrate using the
      default values.  If you add 5 pixels to the top, and use a
      distance of 1, then you end up with a vertical run of at least
      4 bg pixels along the top edge of the image.  If you use a
      minimum runlength of 3, each vertical line will always find
      a miss near the center of its run.  However, if you use a
      minimum runlength of 5, you will not get a miss on every vertical
      line.  As another example, if you have 7 added pixels and a
      distance of 2, you can use a runlength up to 5 to guarantee
      that the miss element is recorded.  We give a warning if the
      contraint does not guarantee a miss element outside the
      image proper.
  (5) The input pix, as extended by the extra pixels on selected sides,
      can optionally be returned.  For debugging, call
      pixDisplayHitMissSel() to visualize the hit-miss sel superimposed
      on the generating bitmap.

pixGetRunCentersOnLine

NUMA * pixGetRunCentersOnLine ( PIX *pixs, l_int32 x, l_int32 y, l_int32 minlength )

pixGetRunCentersOnLine()

    Input:  pixs (1 bpp)
            x, y (set one of these to -1; see notes)
            minlength (minimum length of acceptable run)
    Return: numa of fg runs, or null on error

Notes:
    (1) Action: this function computes the fg (black) and bg (white)
        pixel runlengths along the specified horizontal or vertical line,
        and returns a Numa of the "center" pixels of each fg run
        whose length equals or exceeds the minimum length.
    (2) This only works on horizontal and vertical lines.
    (3) For horizontal runs, set x = -1 and y to the value
        for all points along the raster line.  For vertical runs,
        set y = -1 and x to the value for all points along the
        pixel column.
    (4) For horizontal runs, the points in the Numa are the x
        values in the center of fg runs that are of length at
        least 'minlength'.  For vertical runs, the points in the
        Numa are the y values in the center of fg runs, again
        of length 'minlength' or greater.
    (5) If there are no fg runs along the line that satisfy the
        minlength constraint, the returned Numa is empty.  This
        is not an error.

pixGetRunsOnLine

NUMA * pixGetRunsOnLine ( PIX *pixs, l_int32 x1, l_int32 y1, l_int32 x2, l_int32 y2 )

pixGetRunsOnLine()

    Input:  pixs (1 bpp)
            x1, y1, x2, y2
    Return: numa, or null on error

Notes:
    (1) Action: this function uses the bresenham algorithm to compute
        the pixels along the specified line.  It returns a Numa of the
        runlengths of the fg (black) and bg (white) runs, always
        starting with a white run.
    (2) If the first pixel on the line is black, the length of the
        first returned run (which is white) is 0.

pixSubsampleBoundaryPixels

PTA * pixSubsampleBoundaryPixels ( PIX *pixs, l_int32 skip )

pixSubsampleBoundaryPixels()

    Input:  pixs (1 bpp, with only boundary pixels in fg)
            skip (number to skip between samples as you traverse boundary)
    Return: pta, or null on error

Notes:
    (1) If skip = 0, we take all the fg pixels.
    (2) We try to traverse the boundaries in a regular way.
        Some pixels may be missed, and these are then subsampled
        randomly with a fraction determined by 'skip'.
    (3) The most natural approach is to use a depth first (stack-based)
        method to find the fg pixels.  However, the pixel runs are
        4-connected and there are relatively few branches.  So
        instead of doing a proper depth-first search, we get nearly
        the same result using two nested while loops: the outer
        one continues a raster-based search for the next fg pixel,
        and the inner one does a reasonable job running along
        each 4-connected coutour.

AUTHOR

Zakariyya Mughal <zmughal@cpan.org>

COPYRIGHT AND LICENSE

This software is copyright (c) 2014 by Zakariyya Mughal.

This is free software; you can redistribute it and/or modify it under the same terms as the Perl 5 programming language system itself.