杨总惠通宝
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<?php
/*
* Copyright 2009 ZXing authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
namespace Zxing\Common;
use Zxing\Binarizer;
use Zxing\LuminanceSource;
use Zxing\NotFoundException;
/**
* This class implements a local thresholding algorithm, which while slower than the
* GlobalHistogramBinarizer, is fairly efficient for what it does. It is designed for
* high frequency images of barcodes with black data on white backgrounds. For this application,
* it does a much better job than a global blackpoint with severe shadows and gradients.
* However it tends to produce artifacts on lower frequency images and is therefore not
* a good general purpose binarizer for uses outside ZXing.
*
* This class extends GlobalHistogramBinarizer, using the older histogram approach for 1D readers,
* and the newer local approach for 2D readers. 1D decoding using a per-row histogram is already
* inherently local, and only fails for horizontal gradients. We can revisit that problem later,
* but for now it was not a win to use local blocks for 1D.
*
* This Binarizer is the default for the unit tests and the recommended class for library users.
*
* @author dswitkin@google.com (Daniel Switkin)
*/
final class HybridBinarizer extends GlobalHistogramBinarizer
{
// This class uses 5x5 blocks to compute local luminance, where each block is 8x8 pixels.
// So this is the smallest dimension in each axis we can accept.
private static $BLOCK_SIZE_POWER = 3;
private static $BLOCK_SIZE = 8; // ...0100...00
private static $BLOCK_SIZE_MASK = 7; // ...0011...11
private static $MINIMUM_DIMENSION = 40;
private static $MIN_DYNAMIC_RANGE = 24;
private $matrix;
public function __construct($source)
{
parent::__construct($source);
self::$BLOCK_SIZE_POWER = 3;
self::$BLOCK_SIZE = 1 << self::$BLOCK_SIZE_POWER; // ...0100...00
self::$BLOCK_SIZE_MASK = self::$BLOCK_SIZE - 1; // ...0011...11
self::$MINIMUM_DIMENSION = self::$BLOCK_SIZE * 5;
self::$MIN_DYNAMIC_RANGE = 24;
}
/**
* Calculates the final BitMatrix once for all requests. This could be called once from the
* constructor instead, but there are some advantages to doing it lazily, such as making
* profiling easier, and not doing heavy lifting when callers don't expect it.
*/
public function getBlackMatrix()
{
if ($this->matrix !== null) {
return $this->matrix;
}
$source = $this->getLuminanceSource();
$width = $source->getWidth();
$height = $source->getHeight();
if ($width >= self::$MINIMUM_DIMENSION && $height >= self::$MINIMUM_DIMENSION) {
$luminances = $source->getMatrix();
$subWidth = $width >> self::$BLOCK_SIZE_POWER;
if (($width & self::$BLOCK_SIZE_MASK) != 0) {
$subWidth++;
}
$subHeight = $height >> self::$BLOCK_SIZE_POWER;
if (($height & self::$BLOCK_SIZE_MASK) != 0) {
$subHeight++;
}
$blackPoints = self::calculateBlackPoints($luminances, $subWidth, $subHeight, $width, $height);
$newMatrix = new BitMatrix($width, $height);
self::calculateThresholdForBlock($luminances, $subWidth, $subHeight, $width, $height, $blackPoints, $newMatrix);
$this->matrix = $newMatrix;
} else {
// If the image is too small, fall back to the global histogram approach.
$this->matrix = parent::getBlackMatrix();
}
return $this->matrix;
}
/**
* Calculates a single black point for each block of pixels and saves it away.
* See the following thread for a discussion of this algorithm:
* http://groups.google.com/group/zxing/browse_thread/thread/d06efa2c35a7ddc0
*/
private static function calculateBlackPoints(
$luminances,
$subWidth,
$subHeight,
$width,
$height
) {
$blackPoints = fill_array(0, $subHeight, 0);
foreach ($blackPoints as $key => $point) {
$blackPoints[$key] = fill_array(0, $subWidth, 0);
}
for ($y = 0; $y < $subHeight; $y++) {
$yoffset = ($y << self::$BLOCK_SIZE_POWER);
$maxYOffset = $height - self::$BLOCK_SIZE;
if ($yoffset > $maxYOffset) {
$yoffset = $maxYOffset;
}
for ($x = 0; $x < $subWidth; $x++) {
$xoffset = ($x << self::$BLOCK_SIZE_POWER);
$maxXOffset = $width - self::$BLOCK_SIZE;
if ($xoffset > $maxXOffset) {
$xoffset = $maxXOffset;
}
$sum = 0;
$min = 0xFF;
$max = 0;
for ($yy = 0, $offset = $yoffset * $width + $xoffset; $yy < self::$BLOCK_SIZE; $yy++, $offset += $width) {
for ($xx = 0; $xx < self::$BLOCK_SIZE; $xx++) {
$pixel = ((int)($luminances[(int)($offset + $xx)]) & 0xFF);
$sum += $pixel;
// still looking for good contrast
if ($pixel < $min) {
$min = $pixel;
}
if ($pixel > $max) {
$max = $pixel;
}
}
// short-circuit min/max tests once dynamic range is met
if ($max - $min > self::$MIN_DYNAMIC_RANGE) {
// finish the rest of the rows quickly
for ($yy++, $offset += $width; $yy < self::$BLOCK_SIZE; $yy++, $offset += $width) {
for ($xx = 0; $xx < self::$BLOCK_SIZE; $xx++) {
$sum += ($luminances[$offset + $xx] & 0xFF);
}
}
}
}
// The default estimate is the average of the values in the block.
$average = ($sum >> (self::$BLOCK_SIZE_POWER * 2));
if ($max - $min <= self::$MIN_DYNAMIC_RANGE) {
// If variation within the block is low, assume this is a block with only light or only
// dark pixels. In that case we do not want to use the average, as it would divide this
// low contrast area into black and white pixels, essentially creating data out of noise.
//
// The default assumption is that the block is light/background. Since no estimate for
// the level of dark pixels exists locally, use half the min for the block.
$average = (int)($min / 2);
if ($y > 0 && $x > 0) {
// Correct the "white background" assumption for blocks that have neighbors by comparing
// the pixels in this block to the previously calculated black points. This is based on
// the fact that dark barcode symbology is always surrounded by some amount of light
// background for which reasonable black point estimates were made. The bp estimated at
// the boundaries is used for the interior.
// The (min < bp) is arbitrary but works better than other heuristics that were tried.
$averageNeighborBlackPoint =
(int)(($blackPoints[$y - 1][$x] + (2 * $blackPoints[$y][$x - 1]) + $blackPoints[$y - 1][$x - 1]) / 4);
if ($min < $averageNeighborBlackPoint) {
$average = $averageNeighborBlackPoint;
}
}
}
$blackPoints[$y][$x] = (int)($average);
}
}
return $blackPoints;
}
/**
* For each block in the image, calculate the average black point using a 5x5 grid
* of the blocks around it. Also handles the corner cases (fractional blocks are computed based
* on the last pixels in the row/column which are also used in the previous block).
*/
private static function calculateThresholdForBlock(
$luminances,
$subWidth,
$subHeight,
$width,
$height,
$blackPoints,
$matrix
) {
for ($y = 0; $y < $subHeight; $y++) {
$yoffset = ($y << self::$BLOCK_SIZE_POWER);
$maxYOffset = $height - self::$BLOCK_SIZE;
if ($yoffset > $maxYOffset) {
$yoffset = $maxYOffset;
}
for ($x = 0; $x < $subWidth; $x++) {
$xoffset = ($x << self::$BLOCK_SIZE_POWER);
$maxXOffset = $width - self::$BLOCK_SIZE;
if ($xoffset > $maxXOffset) {
$xoffset = $maxXOffset;
}
$left = self::cap($x, 2, $subWidth - 3);
$top = self::cap($y, 2, $subHeight - 3);
$sum = 0;
for ($z = -2; $z <= 2; $z++) {
$blackRow = $blackPoints[$top + $z];
$sum += $blackRow[$left - 2] + $blackRow[$left - 1] + $blackRow[$left] + $blackRow[$left + 1] + $blackRow[$left + 2];
}
$average = (int)($sum / 25);
self::thresholdBlock($luminances, $xoffset, $yoffset, $average, $width, $matrix);
}
}
}
private static function cap($value, $min, $max)
{
if ($value < $min) {
return $min;
} elseif ($value > $max) {
return $max;
} else {
return $value;
}
}
/**
* Applies a single threshold to a block of pixels.
*/
private static function thresholdBlock(
$luminances,
$xoffset,
$yoffset,
$threshold,
$stride,
$matrix
) {
for ($y = 0, $offset = $yoffset * $stride + $xoffset; $y < self::$BLOCK_SIZE; $y++, $offset += $stride) {
for ($x = 0; $x < self::$BLOCK_SIZE; $x++) {
// Comparison needs to be <= so that black == 0 pixels are black even if the threshold is 0.
if (($luminances[$offset + $x] & 0xFF) <= $threshold) {
$matrix->set($xoffset + $x, $yoffset + $y);
}
}
}
}
public function createBinarizer($source)
{
return new HybridBinarizer($source);
}
}