我在网上没有找到这个解决方案,必须自己弄清楚。所以,为了他人的利益,我把它当作一个“问题”:
您能否将我的 OpenCV 2.4+ 工作界面改进为 C++ 版本的 Zxing 2.2 一维条码阅读器?
这是我的工作,但也许可以改进的实现如下:
/**
* Gary Bradski, Reading 1D barcodes
* License BSD, (c) 2013
*
* Working example of how to call zxing using OpenCV 2.4+ cv::Mat
*
* Calling example, this one for 128 barcodes:
*
* Code128Reader cr; //Instantiate a zxing barcode reader, int this case for 128 barcodes,
* // but you can use any of their 1D or multi readers here
* ... by magic, I find, rectify and islotate a barcode into cv::Mat barcodeImage
* decode_image(&cr, barcodeImage); //Decode the isolated rectified barcode or fail
*
*/
#include <string>
#include <fstream>
#include <iostream>
#include <vector>
using namespace cv;
using namespace std;
//////////////ZXING BARCODE READER//////////////////////////////////////////
#include <zxing/LuminanceSource.h>
#include <zxing/MultiFormatReader.h>
#include <zxing/oned/OneDReader.h>
#include <zxing/oned/EAN8Reader.h>
#include <zxing/oned/EAN13Reader.h>
#include <zxing/oned/Code128Reader.h>
#include <zxing/datamatrix/DataMatrixReader.h>
#include <zxing/qrcode/QRCodeReader.h>
#include <zxing/aztec/AztecReader.h>
#include <zxing/common/GlobalHistogramBinarizer.h>
#include <zxing/Exception.h>
using namespace zxing;
using namespace oned;
using namespace datamatrix;
using namespace qrcode;
using namespace aztec;
class OpenCVBitmapSource : public LuminanceSource
{
private:
cv::Mat m_pImage;
public:
OpenCVBitmapSource(cv::Mat &image)
: LuminanceSource(image.cols, image.rows)
{
m_pImage = image.clone();
}
~OpenCVBitmapSource(){}
int getWidth() const { return m_pImage.cols; }
int getHeight() const { return m_pImage.rows; }
ArrayRef<char> getRow(int y, ArrayRef<char> row) const //See Zxing Array.h for ArrayRef def
{
int width_ = getWidth();
if (!row)
row = ArrayRef<char>(width_);
const char *p = m_pImage.ptr<char>(y);
for(int x = 0; x<width_; ++x, ++p)
row[x] = *p;
return row;
}
ArrayRef<char> getMatrix() const
{
int width_ = getWidth();
int height_ = getHeight();
ArrayRef<char> matrix = ArrayRef<char>(width_*height_);
for (int y = 0; y < height_; ++y)
{
const char *p = m_pImage.ptr<char>(y);
int yoffset = y*width_;
for(int x = 0; x < width_; ++x, ++p)
{
matrix[yoffset + x] = *p;
}
}
return matrix;
}
/*
// The following methods are not supported by this demo (the DataMatrix Reader doesn't call these methods)
bool isCropSupported() const { return false; }
Ref<LuminanceSource> crop(int left, int top, int width, int height) {}
bool isRotateSupported() const { return false; }
Ref<LuminanceSource> rotateCounterClockwise() {}
*/
};
void decode_image(Reader *reader, cv::Mat &image)
{
try
{
Ref<OpenCVBitmapSource> source(new OpenCVBitmapSource(image));
Ref<Binarizer> binarizer(new GlobalHistogramBinarizer(source));
Ref<BinaryBitmap> bitmap(new BinaryBitmap(binarizer));
Ref<Result> result(reader->decode(bitmap, DecodeHints(DecodeHints::TRYHARDER_HINT)));//+DecodeHints::DEFAULT_HINT)));
cout << result->getText()->getText() << endl;
//Export the read barcode here
}
catch (zxing::Exception& e)
{
//Export your failure to read the code here
cerr << "Error: " << e.what() << endl;
}
}
忘记归因于我开始的内容。这里有一个使用 IplImages 的过时(不会编译)实现: http ://www.idealsoftware.com/opensource/scan-1d-2d-barcodes-webcam-zxing-opencv-visual-c.html
这会更新该解决方案,使其适用于 Zxing 2.2 和 OpenCV 2.1+